# Ph.D. Alumni

## 2020

**Hongsheng Liu**

“*Hybrid Bayesian Optimization with DIRECT*“

Advisor: Kai Zhang and Michael Kosorok

Placement: Huawei

**Jonathan Williams**

“*Topics in Non-Penalized Inference*“

Advisor: Jan Hannig

Placement: North Carolina State University

**Iain Carmichael**

“*Geometric Insights into Support Vector Machine Behavior Using the KKT Conditions*“

Advisor: Shankar Bhamidi and J.S. Marron

Placement: Postdoc, University of Washington

**Jianyu Liu**

“*Flexible Graph-Based Learning with Applications to Genetic Data Analysis*“

Advisor: Yufeng Liu

Placement: Facebook

**Zhengling Qi**

“*Learning Optimal Individualized Decision Rules with Risk Control*“

Advisor: Yufeng Liu

Placement: George Washington University

**Zheqi Zhang**

“*Prioritization and Distribution of Casualties in Disaster Management*“

Advisor: Nilay Argon and Serhan Ziya

Placement: American Airlines

**Yichen Tu**

“*Queueing Systems with Strategic and Learning Customers*“

Advisor: Serhan Ziya and Nur Sunar

Placement: Cox Automotive

**Huijun Qian**

“*Statistical Inference and Computation for Market Microstructure*“

Advisor: Chuanshu Ji

Placement: Exelon

**Lu Wang**

“*Stochastic Models for Service and Taxi Systems*“

Advisor: Vidyadhar Kulkarni

Placement: Wells Fargo

**Liuqing Yang**

“*Statistical Methods for Deconvolution in Cancer Genomics*“

Advisor: J.S. Marron

Placement: Abbvie

**Yang Yu**

“*Analyzing Sampling in Stochastic Optimization: Importance Sampling and Statistical Inference*“

Advisor: Amarjit Budhiraja and Shu Lu

Placement: Google

**Haipeng Gao**

“*Bayesian Inference for Stochastic Cusp Catastrophe Model*“

Advisor: Chuanshu Ji

Placement: PayPal

**Hyo Young Choi**

“*Scissor for Finding Outliers in RNA-Seq*“

Advisor: J.S. Marron and D. Neil Hayes

Placement: Postdoc, University of Tennessee

**Meilei Jiang**

“*Statistical Learning of Integrated Analysis*“

Advisor: J.S. Marron

Placement: Goldman Sachs

**Siliang Gong**

“*Study on Correlations in High-Dimensional Data*“

Advisor: Yufeng Liu and Kai Zhang

Placement: Postdoc, University of Pennsylvania

**Suman Chakraborty**

“*Dense Graph Limits and Applications*“

Advisor: Shankar Bhamidi and Andrew Nobel

Placement: Postdoc, University of Michigan

**Yifan Cui**

“*Tree-Based Survival Models and Precision Medicine*“

Advisor: Jan Hannig and Michael Kosorok

Placement: Postdoc, The Wharton School at University of Pennsylvania

**Eric Friedlander**

“*Mean-Field Methods in Large Stochastic Networks*“

Advisor: Amarjit Budhiraja

Placement: Postdoc, University of Chicago

**Dylan Glotzer**

“*Extreme Value Analysis, Nonlinear Random Oscillators, and Applications to Ship Motions in Irregular Seas*“

Advisor: Vladas Pipiras

Placement: Assistant Professor, Meredith College

**Tianxiao Sun**

“*Newton-type Methods under Generalized Self-Concordance and Inexact Oracles*“

Advisor: Shu Lu and Kinh Truong

Placement: Lowe's

**Wanyi Chen**

“*A Data-Driven Approach for Operational Improvement in Emergency Departments*“

Advisor: Nilay Argon and Serhan Ziya

Placement: Harvard Medical School

**Yufeng Liu**

“*Advanced Statistical Learning Techniques for High-Dimensional Imaging Data*“

Advisor: Yufeng Liu and Hongtu Zhu

Placement: Uber

**Xi Chen**

“*Dynamic Models of Asset Returns and Mortgage Default*“

Advisor: Chuanshu Ji and Eric Ghysels

Placement: Freddie Mac

**Hyowon An**

“*Gaussian Centered L-Moments*“

Advisor: J.S. Marron and Kai Zhang

Placement: Postdoc, UNC Lineberger Cancer Center

**Kelly Bodwin**

“*Mining of Variable Associations*“

Advisor: Andrew Nobel and Kai Zhang

Placement: Assistant Professor, California Polytechnic State University at San Luis Obispo

**Jimmy Jin**

“*Scale-Free Random Graph Dynamics*“

Advisor: Andrew Nobel and Shankar Bhamidi

Placement: Optimizely

**John Palowitch**

“*Beyond the Stochastic Block Model: Community Detection for Complex Weighted Networks*“

Advisor: Andrew Nobel and Shankar Bhamidi

Placement: Google

**Qunqun Yu**

“*Horizontal Variation, Curve Registration, Human Connectome Data*“

Advisor: J.S. Marron and Kai Zhang

Placement: JP Morgan Chase

**Yang Yu**

“*Advanced Statistical Models for Imaging and Genetic Data*“

Advisor: J.S. Marron and Hongtu Zhu

Placement: Goldman Sachs

**Mustafa Kabul**

“*Papers on Selling to Strategic Customer: A Supply Chain Perspective*“

Advisor: Ali Kemal Parlakturk

Placement: SAS Institute

**Yunxiao Liu**

“*Essays in High-Frequency Financial Econometrics*“

Advisor: Chuanshu Ji and George Tauken

Placement: Uber

**Siyun Yu**

“*Optimal Resource Utilization in Service Systems*“

Advisor: Vidyadhar Kulkarni

Placement: Cox Automotive

**Dongqin Yu**

“*Data-Driven Quality of Service Improvements in Hospitals*“

Advisor: Serhan Ziya and Haipeng Shen

Placement: JP Morgan Chase

**Qing Fen**

“*Statistical Integration of Information*“

Advisor: Jan Hannig and J.S. Marron

Placement: Uber Technologies, Inc.

**Ruoyu Wu**

“*Some Asymptotic Results for Weakly Interacting Particle Systems*“

Advisor: Amarjit Budhiraja

Placement: Postdoc, Brown University

**Guan Yu**

“*Flexible Supervised Learning Techniques with Applications in Neuroscience*“

Advisor: Yufeng Liu

Placement: Assistant Professor, University of Buffalo

**Eunjee Lee**

“*Advanced Bayesian Models for High-Dimensional Biomedical Data*“

Advisor: Hongtu Zhu and Joseph Ibrahim

Placement: Research Assistant Professor, University of Michigan

**Haojin Zhai**

“*Principal Component Analysis in Phylogenetic Tree Space*“

Advisor: J.S. Marron and Scott Provan

Placement: ComScore

**Huiyin Ouyang**

“*Confidence Intervals for Solutions to Variational Inequalities*“

Advisor: Nilay Argon and Serhan Ziya

Placement: Northwestern University

**Yu Zhang**

“*Index Policies for Patient Scheduling and ATM Replenishment*“

Advisor: Vidyadhar Kulkarni

Placement: Bank of America

**Leicheng Yin**

“*Monte Carlo Strategies in Option Pricing for SABR Model*“

Advisor: Chuanshu Ji

Placement: Wintrust Financial Group

**Stefanos Kechagias**

“*Bivariate Long-Range Dependent Time Series Models with General Phase*“

Advisor: Vladas Pipiras

Placement: SAS Institute

**Di Miao**

“*Class-Sensitive Principal Components Analysis*“

Advisor: J.S. Marron and Jason Fine

Placement: Bank of America

**Patrick Kimes**

“*New Statistical Learning Approaches with Applications to RNA-Sequencing Data*“

Advisor: J.S. Marron and Yufeng Liu

Placement: Roche Sequencing

**Abhishek Pal Majumder**

“*Higher Order Asymptotics of Generalized Fiducial Inference*“

Advisor: Amarjit Budhiraja and Jan Hannig

Placement: Postdoc, University of Copenhagen

**James Wilson**

“*Statistical Analysis of Relational Data: Mining and Modeling Complex Networks*“

Advisor: Andrew Nobel and Shankar Bhamidi

Placement: University of San Francisco

**Jie Xiong**

“*Radial Distance Weighted Discrimination*“

Advisor: J.S. Marron

Placement: Wells Fargo Bank, Charlotte

**Wen Jenny Shi**

“*Bayesian Viral Sequencing Modeling & Covariance Estimation via Fiducial Inference*“

Advisor: Andrew Nobel

Placement: Postdoc, University of Chicago

**Dong Wang**

“*Some Statistical Approaches to the Analysis of Matrix-Valued Data*“

Advisor: Haipeng Shen and Kinh Truong

Placement: Postdoc, Rutgers University

**Yuying Xie**

“*Estimation of Graphical Models with Biological Applications*“

Advisor: Yufeng Liu and William Valdar

Placement: Assistant Professor, Michigan State University

**Michael Lamm**

“*Confidence Intervals for Solutions to Variational Inequalities*“

Advisor: Shu Lu

Placement: SAS Institute

**Minghui Liu**

“*Elementary Reformulation and Succinct Certificates in Conic Linear Programming*“

Advisor: Gabor Pataki

Placement: SAS Institute

**Liang Yin**

“*Confidence Regions and Intervals for Sparse Penalized Regression using Variational Inequality Techniques*“

Advisor: Shu Lu and Yufeng Liu

Placement: FedEx

**Gen Liu**

“*Integrated Analysis of Multiple Data Sets with Biomedical Applications*“

Advisor: Andrew Nobel and Haipeng Shen

Placement: Columbia University

**Ritwik Chaudhuri**

“*Non-Gaussian Semi-Stable Distributions and Their Statistical Applications*“

Advisor: Vladas Pipiras

Placement: IBM Research

**Michelle Miranda**

“*Bayesian Analysis of Ultra-High Dimensional Neuroimaging Data*“

Advisor: Joseph Ibrahim and Hongtu Zhu

Placement: Postdoc, University of Sao Paulo, Brazil Neuromathematics

**Sunyoung Shin**

“*Contributions to Penalized Estimation*“

Advisor: Jason Fine and Yufeng Liu

Placement: Postdoc, University of Wisconsin-Madison

**Tao Wang**

“*Empirical Analysis of Sequential Models for Market Microstructure*“

Advisor: Chuanshu Ji

Placement: Bank of America Merrill Lynch

**Xuan Wang**

“*The Critical Scaling Window for Dynamic Random Graph Process*“

Advisor: Shankar Bhamidi and Amarjit Budhiraja

Placement: Databricks

**Susan Wei**

“*Latent Supervised Learning and Diproperm*“

Advisor: Michael R. Kosorok and J.S. Marron

Placement: Assistant Professor of Biostatistics, University of Minnesota

**Chong Zhang**

“*Flexible Classification Techniques with Biomedical Applications*“

Advisor: Yufeng Liu

Placement: Assistant Professor, University of Waterloo

**Sean Skwerer**

“*Tree Oriented Data Analysis*“

Advisor: Scott Provan

Placement: Yale University

**Shankun Sun**

“*Priority Scheduling of Jobs with Unknown Types*“

Advisor: Nilay Argon and Serhan Ziya

Placement: University of Calgary

**Han Ye**

“*Data-Driven Workforce Management in Call Centers*“

Advisor: Haipeng Shen

Placement: University of Illinois at Urbana-Champaign

**Petro Borysov**

“*Local Classification of Clinical Data*“

Advisor: J.S. Marron and Jan Hannig

Placement: SAS Institute

**Jiang Chen**

“*Some Topics in Large Deviations for Stochastic Dynamical Systems*“

Advisor: Shankar Bhamidi

**Wonyul Lee**

“*New Statistical Learning Methods for Multiple High Dimensional Datasets*“

Advisor: Yufeng Liu

Placement: Postdoc, MD Anderson Cancer Center

**Xiaosun Lu**

“*Object Oriented Data Analysis of Cell-Well Structured Data and Statistical Analysis of Elastic Functions*“

Advisor: J.S. Marron and Perry Haaland

Placement: Quintiles

**Jeremy Sabourin**

“*LASSO Based Resample Model Averaging for Genetic Association Studies*“

Advisor: Andrew Nobel and William Valdar

Placement: Postdoc, UNC-Chapel Hill, Genetics

**Qi Gong**

“*Stochastic Models for Order Book Dynamics*“

Advisor: Vidyadhar Kulkarni

Placement: Apply Square & Uzhile

**Nelson Lee**

“*Service Center Design and Control Problem*“

Advisor: Vidyadhar Kulkarni

Placement: FedEx

**Christopher Cabanski**

“*Statistical Methods for Analysis of Genetic Data*“

Advisor: J.S. Marron and D. Neil Hayes

Placement: Postdoc, Washington University

**Wenjie Chen**

“*Hemodynamic Response Function Modeling*“

Advisor: Haipeng Shen and Kinh Truong

Placement: Travelers Insurance, Hartford, CT

**Jessi Cisewski**

“*Generalized Fiducial Inference for Normal Mixed Linear Models*“

Advisor: Jan Hannig

Placement: Visiting Assistant Professor, Carnegie Mellon University

**Robert Erhardt**

“*Approximate Bayesian Computing for Spatial Extremes*“

Advisor: Richard Smith

Placement: Wake Forest University

**Soyoung Jeon**

“*Max-Stable Process for Threshold Exceedancey in Spatial Extremes*“

Advisor: Richard Smith

**Eric Lock**

“*Vertical Integration of Multiple High Dimensional Datasets*“

Advisor: Andrew Nobel and J.S. Marron

Placement: Assistant Professor in Biostatistics, University of Minnesota

**Hongyu Ru**

“*Statistical Analysis of Financial Time Series and Risk Management*“

Advisor: Eric Ghysels and Chuanshu Ji

**Dan Shen**

“*PCA Asymptotics & Analysis of Tree Data*“

Advisor: J.S. Marron and Haipeng Shen

Placement: Assistant Professor, University of South Florida

**Chao Deng**

“*Optimal Design and Control of Finite-Population Queueing Systems*“

Advisor: Nilay Argon and Vidyadhar Kulkarni

Placement: Quintiles

**Melanie Gratton**

“*Algorithms for Trust-Region Subproblems with Linear Inequality Constraints*“

Advisor: Jon Tolle

Placement: SAS Institute

**Jianzhe Luo**

“*Queueing Approaches to Appointment System Design*“

Advisor: Vidyadhar Kulkarni and Serhan Ziya

Placement: Amazon

**Alex Mills**

“*Patient Prioritization and Resource Allocation in Mass Casualty Incidents*“

Advisor: Nilay Argon and Serhan Ziya

Placement: Kelley School of Business, Indiana University, Indiana

**Sudhanshu Sing**

“*Projection Based Algorithms for Variational Inequalities*“

Advisor: Shu Lu

Placement: IBM, Delhi, India

**Spencer Hays**

“*A Functional Dynamic Factor Model*“

Advisor: Haipeng Shen and Kinh Truong

Placement: Assistant Professor, Virginia Commonwealth University

**Hanwen Huang**

“*Some Contributions to High Dimensional Statistical Learning*“

Advisor: J.S. Marron and Yufeng Liu

Placement: Assistant Professor in Biostatistics, University of Georgia

**Sungkyu Jung**

“*High Dimension Low Sample Size Data Analysis and Asymptotics for Variables on Manifolds*“

Advisor: J.S. Marron and Mark Foskey

Placement: Assistant Professor, University of Pittsburgh

**Seon Joo Lee**

“*Independent Component Analysis on the Spectral Domain*“

Advisor: Haipeng Shen and Kinh Truong

**Brian Lopes**

“*A Spatial Ridge Regression Approach to Inverse Models*“

Advisor: Richard Smith

Placement: Data Scientist, Choice Stream

**Xin Liu**

“*Multiscale Diffusion Approximations for Open Queuing Networks in Heavy Traffic*“

Advisor: Amarjit Budhiraja

Placement: Postdoc, Institute for Mathematics and its Applications, University of Minnesota

**Dominik Reinhold**

“*Asymptotic Behavior of Near Critical Branching Process and Modelling of Cell Growth Data*“

Advisor: Amarjit Budhiraja and M. Ross Leadbetter

Placement: Assistant Professor, Clark University

**Baowei Xu**

“*Option Pricing in Random Field Models with Stochastic Volatility for the Term Structure of Interest Rates*“

Advisor: Chuanshu Ji

Placement: Goldman Sachs

**Ying Yuan**

“*Statistical Analysis of SPD Matrices*“

Advisor: Hongtu Zhu and J.S. Marron

Placement: Research Scientist, St. Jude Children's Hospital

**Ruiwen Zhang**

“*A Statistical Approach to Functional Connectivity Involving Multichannel Neural Spike Trains*“

Advisor: Haipeng Shen and Kinh Truong

Placement: Senior Research Statistician, SAS Institute

**Changryong Baek**

“*Second Order Properties of Distribution Tails & Estimation of Tail Exponents in Random Difference Equations*“

Advisor: Vladas Pipiras

Placement: Associate Professor, Department of Statistics, Sungkyunkwan University

**Hongyuan Cao**

“*High Dimensional Statistical Inference with Applications to Genomics*“

Advisor: Michael R. Kosorok

Placement: Associate Professor, Department of Statistics, Florida State University

**Feng Liu**

“*Statistical Analysis on Market Microstructure Models*“

Advisor: Chuanshu Ji

**Seo Young Park**

“*Flexible Margin-Based Classification Techniques*“

Advisor: Yufeng Liu

Placement: Assistant Professor, University of Pittsburgh School of Medicine

**Xingye Qiao**

“*Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification*“

Advisor: J.S. Marron and Yufeng Liu

Placement: Department of Mathematical Sciences, Binghamton University

**Andrey Shabalin**

“*Detection of Low Rank Signals in Noise and Fast Correlation Mining with Applications to Large Biological Data*“

Advisor: Andrew Nobel

Placement: Postdoc, Biostatistics, University of North Carolina at Chapel Hill

**Evin Uzun**

“*Scheduling in Service Systems with Impatient Customers and Insights into Mass-Casualty Triage*“

Advisor: Nilay Argon

Placement: Imperial College, London

**Evangelos Evangelou**

“*Bayesian & Frequentist Methods for Approximate Inference in Generalized Lineour Mixed Models*“

Advisor: Richard Smith and Zhengyuan Zhu

Placement: Assistant Professor, University of Bath

**Xuanyao He**

“*Statisticial Inferences for Correlated Data Prediction, Estimation and Design*“

Advisor: Richard Smith and Zhengyuan Zhu

Placement: Visiting Professor, Purdue University

**Mihee Lee**

“*Deconvolution Estimation of a Mixture Distribution with Boundary Effects Motivated by Mutation Effect Distribution*“

Advisor: J.S. Marron and Haipeng Shen

Placement: Wistar Institute

**Changwon Lim**

“*Robust Statistical Theory and Methodology for Nonlinear Models with Applications to Toxicology*“

Advisor: P.K. Sen and Shyamal Peddada

Placement: NIEHS, NIH

**Ying Lu**

“*Advances in Statistical Theory and Networks for Social Sciences*“

Advisor: Jianqing Fan

**Daniel Samarov**

“*Analysis and Advanced Extensions of Canonical Correlation Analysis*“

Advisor: J.S. Marron and Yufeng Liu

Placement: National Institute of Standards and Technology

**Fangfang Wang**

“*Statistical Analysis of Some Financial Time Series*“

Advisor: Eric Ghysels and Chuanshu Ji

Placement: University of Illinois at Chicago

**Burcu Aydin**

“*Principal Component Analyses for Tree Structured Objects*“

Advisor: Gabor Pataki and J.S. Marron

Placement: HP Research, Palo Alto

**Nomesh Bolia**

“*Scheduling in Wireless Cellular Data Networks*“

Advisor: Vidyadhar Kulkarni

Placement: IIT, Delhi

**Nan Liu**

“*Appointment Scheduling in Health Care*“

Advisor: Vidyadhar Kulkarni and Serhan Ziya

Placement: Columbia University

**Mustafa Tural**

“*Topics in Basis Reduction and Integer Programming*“

Advisor: Gabor Pataki

Placement: Telcordia Technologies

**Travis Gaydos**

“*Data Representation/Basis Selection to Understand Variation of Function Valued Traits*“

Advisor: J.S. Marron and Joel Kingsolver

**Tao Huang**

“*Continuous Optimization Approaches to the Quadrative Assignment Problem*“

Advisor: Jon Tolle

Placement: SAS Institute, Inc. Cary, N.C.

**Chihoon Lee**

“*Long Time Stability & Control Problems for Stochastic Processing Networks in Heavy Traffic*“

Advisor: Amarjit Budhiraja

Placement: Assistant Professor, Colorado State University

**Vasileios Maroulas**

“*Small Noise Large Deviations for Infinite Dimensional Stochastic Dynamical Systems*“

Advisor: Amarjit Budhiraja

Placement: Post-Doc. Fellowship/The Inst. of Mathematics and its Applications (IMA), University of Minnesota

**Suman Sen**

“*Classification on Monifolds*“

Advisor: J.S. Marron

Placement: Novartis

**Elizabeth Shamseldin**

“*Asymptotic Multivariate Kriging/ Estimated Parameters with Bayesian Prediction*“

Advisor: Richard Smith

**Jungyeon Yoon**

“*Contributions to Stochastic Volatility Models and Option Pricing*“

Advisor: Amarjit Budhiraja

**Tao Huang**

“*Continuous Optimization Approaches to the Quadrative Assignment Problem*“

Advisor: Jon Tolle

Placement: SAS Institute

**Zhaohui Wang**

“*Capacity Investment Strategies under Operational Flexibility*“

Advisor: Eylem Tekin

Placement: PanAgora Asset Management, Boston

**Didier Gustavo**

“*On Operator Fractional Brownian Motions*“

Advisor: Vladas Pipiras

Placement: Assistant Professor, Tulane University

**Jie Zhou**

“*High Dimensional Spatial Modeling of Extremes with Applications to United States Rainfalls*“

Advisor: R.L. Smith

Placement: Risk Modeler, ABS Consulting/EQECAT, Oakland, CA.

**Ping Bai**

“*Temporal-Spatial Modeling for fMRI Data*“

Advisor: Kinh Truong and R.L. Smith

Placement: Risk Analyst at PayPal, San Jose, CA.

**Xing Sun**

“*Significance and Recovery of Block Structures in Binary and Real-Valued Matrices with Noise*“

Advisor: A.B. Nobel

Placement: Research Associate, Merck Pharmaceuticals, Philadelphia, PA.

**Myung Hee Lee**

“*Weighted Distance Weighted Discrimination and Pairwise Variable Selection for Classification*“

Advisor: J.S. Marron

Placement: Research Associate at Lineberger Comprehensive Cancer Center

**Xuxin Liu**

“*New Statistical Tools for Microarray Data and Comparison with Existing Tools*“

Advisor: J.S. Marron.

Placement: Postdoc at Harvard University

**Michele Trovero**

“*Effects of Aggregation on Estimators of Long-Range Dependence*“

Advisor: Richard L. Smith

Placement: Programmer, SAS

**Lingson Zhang**

“*Functional Singular Value Decomposition and Multiresolution Anomaly Detection Method*“

Advisor: J.S. Marron and Haipeng Shen

Placement: Postdoc at Harvard University, and then Assistant Professor at Purdue

**Liqiang Liu**

“*Service Systems with Balking Based on Queueing Time*“

Advisor: Vidyadhar Kulkarni

Placement: EURANDOM, the Netherlands

**Jeongyoun Ahn**

“*Geometrical Approches to High Dimensional, Low Sample Size Data Anaylsis*“

Advisor: J.S. Marron

Placement: Assistant Professor, University of Georgia

**Kevin Ross**

““

Advisor: Amarjit Budhiraja

Placement: Postdoc at Stanford University

**Yichao Wu**

“*Probability Approximations with Applications in Computational Finance and Bioinformatics*“

Advisor: Chuanshu Ji and Harry Hurd

Placement: Postdoc at Princeton University, and then Assistant Professor at NCSU

**Keqi Yan**

“*Fluid Models for Production-Inventory Systems*“

Advisor: Vidyadhar Kulkarni

Placement: SAS Institute

**Feng Chen**

“*Admission Control and Routing in Multi-priority Systems*“

Advisor: Vidyadhar Kulkarni

Placement: SAS Institute

**Xiao Wang**

“*Mathematical Modeling of Cellular Biochemical Networks*“

Advisor: Timothy Elston

**Arka Ghosh**

“*Controlled Stochastic Networks in Heavy Traffic*“

Advisor: Amarjit Budhiraja

Placement: Assistant Professor, Iowa State University

**Francisco Morales**

“*Estimation of Max-Stable Processes using Monte Carlo Methods with Application to Financial Risk Assessment*“

Advisor: Richard Smith

Placement: Researcher, Bank of Mexico

**Stanislav Kolenikov**

“*A Modification of the EM Algorithm with Applications to Spatio-Temporal Modeling*“

Advisor: Richard Smith

Placement: Assistant Professor, University of Missouri

**Ivan Pacheco-Soto**

“*Cyclical Time Series with Squeezed Time*“

Advisor: Gordon Simons

Placement: University of Zacatecas and the Monterrey Institute of Technology Campus in Zacatecas, Mexico

**Wei Huang**

“*Managing Warranty Services: Pricing, Inventory and Outsourcing*“

Advisor: Vidyadhar Kulkarni and Jay Swanithan

Placement: SAS Institute

**Tao Huang**

“*Dynamic Revenue Management and Pricing of Flexible Capacity*“

Advisor: Eylem Tekin

Placement: Capital One

**Bala Krishnamoorthy**

“*Pre-Conditioning Integer Programs Using Column Basis Reduction, and Geometry and Topology Of Protein Structures*“

Advisor: Gabor Pataki and Alex Tropshaw

Placement: Washington State University

**John Fricks**

“*Biomolecular Motors and Diffusion Ratchets*“

Advisor: Amarjit Budhiraja

Placement: NSF Postdoc 2004-2005, Department of Mathematics, UNC; Assistant Professor (2005-), Penn State University

**Rima Izem**

“*Analysis of Nonlinear Variation in Functional Data*“

Advisor: J. S. Marron

Placement: The Food and Drug Administration

**Juhyun Park**

““

Advisor: J. S. Marron

Placement: Assistant Professor at Lancaster University, UK

**Xiaohui Wang**

“*A Scale-Based Approach to Finding Effective Dimensionality*“

Advisor: J. S. Marron

Placement: Assistant Professor, University of Virginia

**Tao Huang**

““

Advisor: J. Fan

Placement: Assistant Professor, University of Virginia.

**Peter Buczowski**

“*Managing Warranties: Funding a Warranty Reserve and Outsourcing Prioritized Warranty Repairs*“

Advisor: Vidyadhar Kulkarni

Placement: Disney

**Petrutza Caragea**

“*Approximate Likelihoods for Spatial Processes*“

Advisor: Richard Smith

Placement: Assistant Professor, Iowa State University

**Haonan Wang**

“*Functional Data Analysis of Populations of Tree-Structured Objects*“

Advisor: J. S. Marron

Placement: Assistant Professor, Colorado State University

**Faheem Mitha**

“*Applications of Perfect Simulation from Continuous Distributions*“

Advisor: Chuanshu Ji

Placement: Postdoc at Duke Univ. (Dept. of Biostatistics and Bioinformatics)

**Beom-Seok Lee**

“*Sequential Monte Carlo Methods in Computational Finance*“

Advisor: Chuanshu Ji

Placement: Assistant Professor, University of Alabama

**Anita Brogan**

“*Mutual Fund and Security Selection Through an Operations Research Lens*“

Advisor: Shaler Stidham

Placement: Research Triangle Institute

**Michelle Opp**

“*Outsourcing Warranty Repair Services: Static and Dynamic Allocation for a Fixed Population*“

Advisor: Vidyadhar Kulkarni

Placement: SAS Institute

**Robert Pratt**

“*Maximum Capacity Paths with Recourse*“

Advisor: Scott Provan

Placement: SAS Institute

**Elena Tzenova**

“*An Analytic Approach to Multi-Class Stochastic Fluid Models with Static Priorities*“

Advisor: Vidyadhar Kulkarni

Placement: Tulane University

**Dan Spitzner**

“*Regression Analysis, Inferential Alignment, and the Frenquentist-Bayesian Interface*“

Advisor: Richard Smith

Placement: Assistant Professor, University of Virginia

**Zhengjun Zhang**

“*Multivariate Extremes, Max-Stable Process Estimation and Dynamic Financial Modeling*“

Advisor: Richard Smith

Placement: Assistant Professor, University of Wisconsin

**Xin Ge**

“*Bayesian Calibration of Stochastic Volatility Models in Computational Finance*“

Advisor: Chuanshu Ji

Placement: Statistician and financial analyst at eBay

**Guillaume Bonnet**

“*The Burgers Superprocess*“

Advisor: R. Adler

Placement: Assistant Professor, University of California, Santa Barbara

**John Johnson**

“*The Association Schemes of Codes, Fractional Factorial Designs, and Block Struct*“

Advisor: I. Chakravarti

Placement: Programmer, SAS

**Kouros Owzar**

“*Association in Bivariate Survival and Roc Models for Correlated Biomarkers*“

Advisor: P.K. Sen

Placement: Duke Dept. of Biostatistics and Bioinformatics

**Emily Larson Luebke**

“*K-Connected Steiner Network Problems*“

Advisor: Scott Provan

Placement: University of Virginia

**Hymei Choi**

“*Central Limit Theory and Extremes of Random Fields*“

Advisor: M.R. Leadbetter

**Nicholas Locantore**

“*Elliptical Principal Component Analysis*“

Advisor: J. S. Marron

Placement: Consultant, Insightful Corporation

**Eric Riehl**

“*Toward a Unified Sample-Path Theory for Stability In Queues, Polling Systems, and Networks of Queues*“

Advisor: Shaler Stidham

Placement: University of North Carolina

**Yasutake Hirasawa**

“*Approximating Traffic Parameters in Multiclass Fluid Network*“

Advisor: Vidyadhar Kulkarni

Placement: IBM

**Anna Admirdjanova**

“*Topics in Stochastic Fluid Dynamics*“

Advisor: G. Kallianpur

Placement: Department of Statistics, University of Michigan (2000-)

**Amy Grady**

“*A Higher Order Expansion for the Joint Density of the Sum and the Maximum with Applications to the Estimation of Climatological Trends*“

Advisor: Richard Smith

Placement: Postdoctoral Fellow, National Institute of Statistical Sciences

**Run-ze Li**

“*High-Dimensional Modeling via Nonconcave Penalized Likelihood and Local Likelihood*“

Advisor: J. Fan and J.S. Marron

Placement: Associate Professor, Pennsylvania State University

**Georgios Skoulakis**

“*Superprocesses Over a Stochastic Flow*“

Advisor: R. Adler

**Greg Spaniolo**

“*Rice’s Formula and Palm Probabilities with Applications to Structural Reliability*“

Advisor: M.R. Leadbetter

**Chunming Zhang**

“*Topics in Generalized Likelihood Ratio Test*“

Advisor: J. Fan

Placement: Assistant Professor, University of Wisconsin

**Robert Derr**

“*Statistical Modeling of Microstructure with Applications to Effective Property Computation in Materials Science*“

Advisor: Chuanshu Ji

Placement: SAS

**Jin Zhang**

“*Smoothed Functional Data Analysis*“

Advisor: J.S. Marron and J. Fan

Placement: National University of Singapore

**William Ducksworth**

“*Codes, Designs and Distance*“

Advisor: I.M. Chakravarti

**Michael Marion**

“*Asymptotics for Conditional U-Statistics with Applications*“

Advisor: P.K. Sen

**Amites Dasgupta**

“*Fractional Brownian Motion: Its Properties and Applications to Stochastic Integration*“

Advisor: G. Kallianpur

**Martin King**

“*Local Likelihood and Local Partial Likelihood in Hazard Regression*“

Advisor: J. Fan

**Sheng Lin**

“*Test of Significance when the Data are Curves*“

Advisor: J. Fan

**Pranab Mandel**

“*Topics in Stochastic Nonlinear Filtering*“

Advisor: G. Kallianpur

**Aluisio Pinheiro**

“*Multi-Resolution Analysis and Applications in Statistics*“

Advisor: Chuanshu Ji and B. Vidakovic

**Mark Farmen**

“*The Smoothed Bootstrap for Variable Bandwidth Selection and Some Results in Nonparametric Logistic Regression*“

Advisor: J.S. Marron and J. Fan

**Zhen-Wei Zhou**

“*Limiting Behavior of the Extrema of Certain Conditional Sample Functions and Some Applications*“

Advisor: P.K. Sen

**Li-Shan Huang**

“*On Nonparametric Estimation and Goodness-of-Fit*“

Advisor: J. Fan

**Yoon-Tai Kim**

“*Parameter Estimation in Stochastic Partial Differential Equations and Wong-Zakai Type Theorems*“

Advisor: G. Kallianpur

**Elisabeti Kira**

“*Computational Complexity of Markov Chain Monte-Carlo Methods and An Inhomogeneous Extension of Spatial Markov Point Processes*“

Advisor: Chuanshu Ji

**Yi-Wen Ma**

“*On Estimation of Distortion in a Binary Symmetric Channel*“

Advisor: G. Simons

**Li-Jian Yang**

“*Transformation – Density Estimation*“

Advisor: J.S. Marron

**Amarjit Budhiraja**

“*Multiple Stochastic Integrals with Applications to Experimental Designs*“

Advisor: G. Kallianpur

**Ming-Yen Cheng**

“*Curve Estimation with Boundary Considerations*“

Advisor: J.S. Marron and J. Fan

**Steven Garren**

“*Parametric and Nonparametric Modeling of Data Using Sampling Algorithms*“

Advisor: R.L. Smith

**Zhan-Qian Lu**

“*Estimating Lyapunov Exponents in Chaotic Time Series with Locally Weighted Regression*“

Advisor: R.L. Smith

**Seokhoon Yun**

“*Extremes and Threshold Exceedances in Higher Order Markov Chains with Applications to Ground-Level Ozone*“

Advisor: R.L. Smith

**Kamal Benchekroun**

“*Association-Balanced Arrays with Applications to Experimental Design*“

Advisor: I.M. Chakravarti

**Jason Brown**

“*A Finite Sampling Plan, Central Limit Theorem, and Bootstrap Algorithm for A Homogeneous and Isotropic Random Field on the 3-Dimensional Sphere*“

Advisor: E. Carlstein

**Robert Lund**

“*Some Limiting and Convergence Rate Results in the Theory of Dams*“

Advisor: W.L. Smith

**Shubhabrata Das**

“*Restricted Canonical Correlations*“

Advisor: P.K. Sen

**Ming Zhang**

“*Adaptive Statistical Analysis of Repeated Measurements Designs*“

Advisor: P.K. Sen

**Peggy Seymour**

“*Selection Procedures for Gibbs-Markov Random Field Texture Models*“

Advisor: Chuanshu Ji

**David Baldwin**

“*Topics in the Theory of Stochastic Processes Taking Values in the Dual of A Countably Hilbertian Nuclear Space*“

Advisor: G. Kallianpur

**Michael Sherman**

“*Subsampling and Asymptotic Normality for a General Statistic from a Random Field*“

Advisor: E. Carlstein

**Jie Xiong**

“*Nuclear Space-Valued Stochastic Differential Equations Driven by Poisson Random Measures*“

Advisor: G. Kallianpur

**Brian Aldershof**

“*Estimation of Integrated Squared Density Derivatives*“

Advisor: J.S. Marron

**Maria Brooks**

“*Bandwidth Selection Methods for Kernel-Estimators of the Intensity Functions of a Nonhomogeneous Poisson Process*“

Advisor: J.S. Marron

**Wen-Jene Ko**

“*A Sequential Clinical Trials Model for Determining the Best Among Three Treatments with Normal Responses*“

Advisor: G. Simons

**Charu Krishnamoorthy**

“*Statistical Analysis of Boundaries: A Nonparametric Approach*“

Advisor: E. Carlstein

**Yingcai Su**

“*Sampling Designs for Estimation of Regression Coefficients and of a Random Process*“

Advisor: S. Cambanis

**John Crowell**

“*On Sequential Estimation of the Renewal Function, Optimal Block Replacement Policies and Fixed-Width Confidence Bands*“

Advisor: P.K. Sen

**Michael Frey**

“*Capacity of the Poisson Communication Channel*“

Advisor: C.R. Baker

**Saishankar Nandagopalan**

“*Multivariate Extremes and Estimation of the Extremal index*“

Advisor: M.R. Leadbetter

**Prakash Patil**

“*Automatic Smoothing Parameter Selection in Hazard Rate Estimation*“

Advisor: J.S. Marron

**Jian-Jian Ren**

“*On Hadamard Differentiability and M-Estimation in Linear Models*“

Advisor: P.K. Sen

**Wei Wu**

“*Heavy Tailed Models: Bootstrapping the Sample Mean and Stable Dependence Structure*“

Advisor: S. Cambanis and E. Carlstein

**Karim Benhenni**

“*Sampling Designs for Estimating Integrals of Stochastic Processes*“

Advisor: S. Cambanis

**I-Feng Chao**

“*Capacity of Gaussian Channels with Jamming*“

Advisor: C.R. Baker

**Chih Chu**

“*Some Results on Nonparametric Regression*“

Advisor: J.S. Marron

**Susan Murphy**

“*Time-Dependent Coefficients in a Cox-Type Regression Model*“

Advisor: P.K. Sen

**Miguel Nakamura**

“*Transformations to Symmetry in the Transform-Both-Sides Regression Model*“

Advisor: D. Ruppert

**Allen Roginsky**

“*On the Central Limit Theorems for the Renewal and Cumulative Processes*“

Advisor: W.L. Smith

**Rajesh Selukar**

“*On Estimation of Hilbert Space Valued Parameters*“

Advisor: G. Kallianpur

**Arnold Stromberg**

“*Robust Efficient Estimation of Nonlinear Regression Parameters*“

Advisor: D. Ruppert

**Christopher Palmer**

“*A Clinical Trials Model for Determining the Best of Three Treatments Having Bernoulli Responses*“

Advisor: G. Simons

**Debapriya Sengupta**

“*Improved Estimation in Some Nonregular Situations*“

Advisor: P.K. Sen

**Yin Yin**

“*Edgeworth Expansion in Tests Concerning Heteroscadisticity*“

Advisor: R.J. Carroll

**Ernestine Kettl**

“*Some Applications of the Transform-Both-Sides Regression Model*“

Advisor: R.J. Carroll

**Mauro Marques**

“*A Study of Lebesgue Decomposition of Measures Induced by Stable Processes*“

Advisor: S. Cambanis

**Ming-Tan Tsai**

“*Asymptotic Optimality and Distribution Theory of Nonparametric Tests for Restricted Alternatives*“

Advisor: P.K. Sen

**Xizhi Wu**

“*Bayes Sequential Testing: A Direct and Analytic Approach*“

Advisor: G. Simons

**Marie Davidian**

“*Variance Function Estimation in Heteroscedastic Regression Models*“

Advisor: R.J. Carroll

**Randall Tobias**

“*The Algebra of A Multi-Stratum Design and the Application of Its Structure to Analysis*“

Advisor: I.M. Chakravarti

**Soren Christensen**

“*Linear Stochastic Differential Equations on the Dual of a Countably Hilbert Nuclear Space with Applications of Neurophysiology*“

Advisor: G. Kallianpur

**Hans Hucke**

“*Estimation of Continuous Time Markov Processes in a Finitely Additive White Noise Model*“

Advisor: G. Kallianpur

**Victor Perez-Abreu**

“*Product Stochastic Measures, Multiple Stochastic Integrals and Their Extensions to Nuclear Space-Valued Processes*“

Advisor: G. Kallianpur

**Douglas Simpson**

“*Some Contributions to Robust Inference for Discrete Probability Models*“

Advisor: R.J. Carroll and D. Ruppert

**Tailen Hsing**

“*Point Processes Associated with Extreme Value Theory*“

Advisor: M.R. Leadbetter

**Byung Kim**

“*Studies in Multinomial Mixture Models*“

Advisor: B.H. Mangolin

**David Giltinan**

“*Bounded Influence Estimation in Heteroscedastic Linear Models, Robustness, Diagnostics*“

Advisor: R.J. Carroll and D. Ruppert

**Jacques Pierre**

““

Advisor:

**Leonard Stefanski**

“*Influence and Measurement Error in Logistic Regression, Robustness*“

Advisor:

**Edward Frees**

“*On Construction of Sequential Age Replacement Policies Via Stochastic Approximation*“

Advisor:

**Robert Smith**

““

Advisor:

**Patrick Crocket**

““

Advisor:

**John Morgan**

““

Advisor:

**Neil Gerr**

“*Exact Analysis of a Delayed Delta Modulator and an Adaptive Differential Pulse-Code Modulator*“

Advisor: S. Cambanis

**John Castellana**

“*Nonparametric Density Estimation for Stationary Stochastic Processes*“

Advisor: M.R. Leadbetter

**Paul Gallo**

“*Properties of Estimators in Errors-in-Variables Regression Models*“

Advisor: R.J. Carroll

**Kenneth Risko**

“*Binomial Population Selection Procedures for Fixed Unequal Sampling Costs*“

Advisor: W.L. Smith

**Chung Suen**

“*On Construction of Balanced Factorial Experiments*“

Advisor: I.M. Chakravarti

**Catherine Burton**

“*Automorphism Groups of Balanced Incomplete Block Designs and Their Use in Statistical Model Construction and Analysis*“

Advisor: I.M. Chakravarti

**Bruce Collings**

“*The Negative Binomial Distribution: An Alternative to the Poisson*“

Advisor: B.H. Mangolin

**David Kikuchi**

“*An Asymptotic Expansion of the Distribution of the Weighted-Difference Classification Criterion for Discrimination of Two and Three Multivariate Populations*“

Advisor: N.L. Johnson

**Emily Murphree**

“*Transient Cumulative Processes*“

Advisor: W.L. Smith

**Ying So**

“*Some Aspects of Sequential Multiple Comparisons*“

Advisor: P.K. Sen

**Diane Wold**

“*On Smooth Estimation of the Renewal Density*“

Advisor: M.R. Leadbetter

**Muhammad Habib**

“*Sampling Representations and Approximations*“

Advisor: S. Cambanis

**Ian McKeague**

“*Covariance Operators and Their Applications in Probability and Information Theory*“

Advisor: C.R. Baker

**John Schoenfelder**

“*Analysis of Covariance Matching*“

Advisor: D. Quade

**Vernon Chinchilli**

“*Rank Tests for Restricted Alternative Problems in Multivariate Analysis*“

Advisor: P.K. Sen

**Gordon Johnston**

“*Smooth Nonparametric Regression Analysis*“

Advisor: R.J. Carroll

**Donna McClish**

“*On Queues and Stores with Nonhomogeneous Inputs*“

Advisor: W.L. Smith

**Louis Moore**

“*Quantile Estimation in Regenerative Processes*“

Advisor: G. Fishman

**Marva Moore**

“*Statistical Analysis of Changes in Mortality Patterns with References to Actuarial Functions*“

Advisor: N.L. Johnson

**Donna Watts**

“*Towards Reconstruction of an Unpaired Random Sample*“

Advisor: I.M. Chakravarti and N.L. Johnson

**Joseph Gardiner**

“*Weak Convergence of Progressively Censored Likelihood Ratio Processes*“

Advisor: G. Simons and P.K. Sen

**Robert Rodriguez**

“*Superposition and Approximation in Renewal Theory*“

Advisor: W.L. Smith

**Carol Schoenfelder**

“*Random Designs for Estimated Integrals of Stochastic Processes*“

Advisor: S. Cambanis

**Johnny Tsong**

“*Limiting Behavior of Certain Continuous Time-Parameter Stochastic Processes and their Applications*“

Advisor: P.K. Sen

**Chin Hsu**

“*Tests for Finite Mixtures of Distributions*“

Advisor: N.L. Johnson

**Grady Miller**

“*Some Results on Symmetric Stable Distributions and Processes*“

Advisor: S. Cambanis

**Yong Nam**

“*A New Generalization of James and Stein’s Estimators in Multiple Linear Regressions*“

Advisor: I.M. Chakravarti and N.L. Johnson

**J.H. Watts**

“*Limit Theorems and Representations for Order Statistics from Dependent Sequences*“

Advisor: M.R. Leadbetter

**Hoi Leung**

“*Bounds and the Evaluation of Rate Distortion Functions*“

Advisor: S. Cambanis

**Kiang Liu**

“*Distribution Functions on Partially Ordered Spaces*“

Advisor: G. Simons

**Carlos Segami**

“*Power Series Distributions, a Dual Class and Some Extensions*“

Advisor: G. Simons and N.L. Johnson

**S. Lynne Stokes**

“*An Investigation of the Consequences of Ranked Set Sampling*“

Advisor: N.L. Johnson

**Joseph Walker**

“*Some Statistical Procedures Based on Distances*“

Advisor: N.L. Johnson and I.M. Chakravarti

**Steel Huang**

“*Nonlinear Analysis of Spherically Invariant Processes and Its Ramifications*“

Advisor: S. Cambanis

**Lynn Weidman**

“*Design and Analysis of Serial Experiments*“

Advisor: I.M. Chakravarti

**Nicholas Fisher**

“*The Theory of Unbiased Estimation for Some Nonparametric Families of Probability Measures*“

Advisor: W. Hoeffding

**Charles Alexander**

“*Statistical Tests Based on the Levy and Prokhorov Metrics*“

Advisor: G. Simons

**Jerren Gould**

“*Automata in Environments*“

Advisor: E.J. Wegman

**Helen Bhattacharyya**

“*On Some Nonparametric Estimations of Scale and Large Sample Distribution of Sample Median Adjusted Rank Order Statistics*“

Advisor: N.L. Johnson

**Nanak Chand**

“*Sequential Tests of Composite Hypotheses*“

Advisor: N.L. Johnson

**Hylton Davies**

“*On the Sequential Estimation of a Probability Density Function*“

Advisor: E.J. Wegman

**Colin Jeffcoat**

“*Some Related Queueing Models with Dependent Service and Inter-Arrival Times*“

Advisor: W.L. Smith

**Alan Lee**

“*Some Results in the Theory of Stochastic Processes*“

Advisor: S. Cambanis

**Judith O'Fallon**

“*Discriminant Analysis Under Truncation*“

Advisor: N.L. Johnson

**Antonio Gualtierotti**

“*Some Problems Related to Equivalence of Measures: Extension of Cylinder Set Measures and a Martingale Transformation*“

Advisor: C.R. Baker

**Vinod Manglik**

“*On Some Binary Search Systems Useful in the Theory of Random Search*“

Advisor: I.M. Chakravarti

**Flavio Rodrigues**

“*Some Structural Relationships Between Weak Convergence of Probability Measures and Convergence in Probability*“

Advisor: G. Simons

**N. Vijayaditya**

“*Combinatorial Information Retrieval Schemes*“

Advisor: T.A. Dowling

**Sujit Basu**

“*Improved Density Versions of the Central Limit Theorem*“

Advisor: W.L. Smith

**Thomas Gerig**

“*Nonparametric Estimation and Testing Procedures and Multivariate Two-Way Layouts*“

Advisor: P.K. Sen

**Kalyan Dutta**

“*On the Asymptotic Properties of Some Robust Estimators in Certain Multivariate Stationary Autoregressive Processes*“

Advisor: P.K. Sen

**Samuel Heft**

“*Spreads in Projective Geometry and Associated Designs*“

Advisor: R.C. Bose

**David Kleinbaum**

“*Estimation and Testing Hypotheses for Generalized Multivariate Linear Models*“

Advisor: N.L. Johnson and J. Grizzle

**Lawrence Kupper**

“*Optimal Response Surface Techniques Using Applied Statistics, Fourier Series and Spherical Harmonics*“

Advisor: I.M. Chakravarti

**Frederick Six**

“*Residuals and Nonstandard Order Statistics*“

Advisor: W. Hoeffding

**Raymond Sproule**

“*A Sequential Fixed-Width Confidence Interval for the Mean of a U-Statistic*“

Advisor: W.J. Hall

**Edward Weissner**

“*Multiple Branching Processes on Random Environments*“

Advisor: W.L. Smith

**James Cole**

“*Multivariate Analysis of Variance Using Patterned Covariance Matrices*“

Advisor: N.L. Johnson and J. Grizzle

**Malay Ghosh**

“*Asymptotically Optimal Nonparametric Tests for Miscellaneous Problems of Linear Regression*“

Advisor: P.K. Sen

**Prakash Joshi**

“*Some Contributions to Order Statistics*“

Advisor: H.A. David

**Jon Kettenring**

“*Canonical Analysis of Several Sets of Variables*“

Advisor: N.L. Johnson

**Robert Obenchain**

“*Rank Tests Invariant Only Under Linear Transformations*“

Advisor: P.K. Sen and N.L. Johnson

**Campbell Read**

“*On Minimizing the Risk in Certain Sequential Tests for Known or Unknown Costs*“

Advisor: N.L. Johnson

**K.V. Suryanarayana**

“*Contributions to Partially Balanced Weighing Designs*“

Advisor: I.M. Chakravarti

**Pierre Robillard**

“*Combinatorial Problems in the Theory of Factorial Designs and Error Correcting Codes*“

Advisor: I.M. Chakravarti

**Jeffrey Hunter**

“*On the Renewal Density Matrix of Semi-Markov Processes*“

Advisor: W.L. Smith

**Gary Koch**

“*The Design of Combinatorial Information Retrieval Systems for Files with Multiple-Valued Attributions*“

Advisor: R.C. Bose

**W. Kenneth Poole**

“*Some Aspects of Linear Prediction in Stationary Time Series*“

Advisor: W.L. Smith

**Kempton Smith**

“*Majority Decodable Codes Derived from Finite Geometrics*“

Advisor: R.C. Bose

**William Wilkinson**

“*Branching Processes in Stochastic Environments*“

Advisor: W.L. Smith

**Thomas Dowling**

“*Construction of Codes for the Gaussian Channel*“

Advisor: R.C. Bose

**Richard Meyer**

“*Some Poisson-Type Limit Theorems for Sequences of Dependent `Rare’ Events, with Applications*“

Advisor: W.J. Hall

**W. Michael O’Fallon**

“*A Stochastic Model for DNA Synthesis*“

Advisor: H.R. van der Vaart and W.J. Hall

**Robert J. Serfling**

“*Contributions to Central Limit Theory for Dependent Variables*“

Advisor: M.R. Leadbetter

**Robert E. Bohrer**

“*On Bayes Sequential Design of Experiments*“

Advisor: W. Hoeffding

**J. George Caldwell**

“*Construction of Variable-Length Error-Correcting Codes*“

Advisor: R.C. Bose

**Jonathan D. Cryer**

“*Normal Stochastic Processes*“

Advisor: M.R. Leadbetter

**Jamie J. Goode**

“*Asymptotically Efficient Competitors to the Maximum Likelihood Estimators*“

Advisor: W. Hoeffding

**David G. Herr**

“*Asymptotically Optimal Tests for an Exponential Family of Distributions*“

Advisor: W. Hoeffding

**David G. Hoel**

“*Properties of Sequential Tests when the Conditions for Standard Approximate Formulae are not Satisfied*“

Advisor: N.L. Johnson

**Robert C. Burton**

“*An Application of Convex Sets to the Construction of Error Correcting Codes and Factorial Designs*“

Advisor: R.C. Bose

**Meckinley Scott**

“*A Study of Some Single-Counter Queueing Processes*“

Advisor: P. Naor

**Ismail N. Shimi**

“*Inventory Problems Concerning Compound Products*“

Advisor: W.L. Smith

**Gideon J. Van Zyl**

“*Inventory Control for Perishable Commodities*“

Advisor: W.L. Smith and W.J. Hall

**Somesh Das Gupta**

“*Some Problems in Classification*“

Advisor: S.N. Roy

**M. Ross Leadbetter**

“*On the Nonparametric Estimation of Probability Densities*“

Advisor: W.L. Smith

**Govind S. Mudholkar**

“*Some Contributions to the Theory of Univariate and Multivariate Statistical Analysis*“

Advisor: W.J. Hall

**Melvin R. Novick**

“*A Bayesian Indifference Procedure*“

Advisor: W.J. Hall

**Sudhindra Ray**

“*Some Sequential Bayes Procedures for Comparing Two Binomial Parameters when Observations are Taken in Pairs*“

Advisor: W.J. Hall

**Charles D. Roberts**

“*An Asymptotically Optimal Sequential Design for Comparing Several Experimental Categories with a Standard or Control*“

Advisor: W. Hoeffding

**William G. Warren**

“*Contributions to the Study of Spatial Point Processes*“

Advisor: W.L. Smith

**John W. Adams**

“*Autoregressive Models and Testing of Hypotheses Associated with these Models*“

Advisor: S.N. Roy

**Sigmund J. Amster**

“*A Modified Bayes Stopping Rule*“

Advisor: W.J. Hall

**Alan J. Gross**

“*On the Construction of Burst-Error-Correcting Codes*“

Advisor: R.C. Bose

**Yashawande S. Sathe**

“*Studies in Certain Types of Nonparametric Inference*“

Advisor: S.N. Roy

**Jagdish N. Srivastava**

“*Contributions to the Construction and Analysis of Designs*“

Advisor: R.C. Bose

**R. Emerson Thomas**

“*Preemptive Disciplines for Queues and Stores*“

Advisor: W.L. Smith

**Richard P. Bland**

“*A Minimum Average Risk Solution to the Problem of Finding the Largest Mean*“

Advisor: D.B. Duncan

**Alfred Descloux**

“*On the Covariance Between the Number of Offered and the Number of Overflow Requests in Systems with Limited Capacity*“

Advisor: W.L. Smith

**Vrudhula Murthy**

“*On the General Renewal Process*“

Advisor: W.L. Smith

**Manibhai S. Patel**

“*Investigations on Factorial Designs*“

Advisor: R.C. Bose

**Wadie F. Mikhail**

“*On the Monotonicity and Admissibility of Some Tests in Multivariate Analysis*“

Advisor: S.N. Roy

**Dana E. Quade**

“*The Asymptotic Power of the Kolmogorov Tests of Goodness-of-Fit*“

Advisor: W. Hoeffding

**Wyman Richardson**

“*Asymptotic Methods of Evaluating Integral A to Infinity f(x)Dx*“

Advisor: H. Hotelling

**E. Webb Stacy**

“*An Estimate of Correlation Corrected for Mathematics Attenuation and Its Distribution*“

Advisor: H. Hotelling

**Vasant P. Bhapkar**

“*Contributions to the Statistical Analysis of Experiments with One or More Responses*“

Advisor: S.N. Roy

**Whitfield Cobb**

“*Studies in Univariate and Multivariate Variance Components Analysis Connected with Sampling from a Finite Population*“

Advisor: S.N. Roy

**Dwijendra K. Ray-Chaudhuri**

“*On the Application of the Geometry of Quadrics to the Construction of Partially Balanced Incomplete Block Designs and Error Correcting Binary Codes*“

Advisor: R.C. Bose

**Donald L. Richter**

“*Two-Stage Experiments for Estimating a Common Mean*“

Advisor: W. Hoeffding

**Rolf Bargman**

“*A Study of Independence and Dependence in Multivariate Normal Analysis*“

Advisor: S.N. Roy

**Earl L. Diamond**

“*Asymptotic Power and Independence of Certain Classes of Tests on Categorical Data*“

Advisor: S.N. Roy

**Norman R. Draper**

“*Investigation of Response Surface Designs*“

Advisor: R.C. Bose

**Roy R. Kuebler**

“*On the Construction of a Class of Error-Correcting Binary Signaling Codes*“

Advisor: R.C. Bose

**Richard F. Potthoff**

“*Multi-Dimensional Incomplete Block Designs*“

Advisor: S.N. Roy

**Richard L. Carter**

“*New Designs for the Exploration of Response Surfaces*“

Advisor: R.C. Bose

**Thomas G. Donnelly**

“*A Family of Sequential Tests*“

Advisor: W. Hoeffding

**Ramanathan Gnanadesikan**

“*Contributions to Multivariate Analysis Including Univariate and Multivariate Variance Components Analysis and Factor Analysis*“

Advisor: S.N. Roy

**Mohammad Iqbal**

“*On the Classification Statistic of Wold*“

Advisor: H. Hotelling

**Mohammed Siddiqui**

“*Distributions of Some Serial Correlation Coefficients*“

Advisor: H. Hotelling

**James W. Walker**

“*Optimal Decomposition of a Sample Space for Estimation Based on Group Data*“

Advisor: H. Hotelling

**Shanti S. Gupta**

“*On a Decision Rule for a Problem in Ranking Means*“

Advisor: R.C. Bose

**William G. Howe**

“*Some Contributions to Factor Analysis*“

Advisor: G. Nicholson

**Jon H. Mac Kay**

“*On the Efficiency of Certain Tests for 2×2 Tables*“

Advisor: H. Hotelling

**Sujit K. Mitra**

“*Contributions to the Statistical Analysis of Categorical Data*“

Advisor: S.N. Roy

**Joan R. Rosenblatt**

“*On a Class of Nonparametric Tests*“

Advisor: W. Hoeffding

**John W. Wilkinson**

“*Analysis of Paired Comparison Designs with Incomplete Repetitions*“

Advisor: R.C. Bose

**Donald L. Burkholder**

“*On a Certain Class of Stochastic Approximation Processes*“

Advisor: W. Hoeffding

**Seymour Geisser**

“*On the Exact Distributions of Certain Statistics Related to the Mean Square Successive Difference*“

Advisor: H. Hotelling

**William J. Hall**

“*Most Economical Multiple-Decision Rules*“

Advisor: W. Hoeffding

**Isadore Blumen**

“*The Estimation of the Means of the Multivariate Normal Distribution: Minimax Solutions*“

Advisor: H. Hotelling

**K.C. Sreedharan Pillai**

“*On Some Distribution Problems in Multivariate Analysis*“

Advisor: S.N. Roy

**Koduvayur Ramachandran**

“*On Certain Tests and the Monotonicity of Their Powers*“

Advisor: S.N. Roy

**Morris Skibinsky**

“*Some Properties of a Bayes Two-Stage Test for the Mean*“

Advisor: W. Hoeffding

**Jacques St. Pierre**

“*Distribution of Linear Contrasts of Order Statistics*“

Advisor: R.C. Bose

**Kiron C. Seal**

“*On a Class of Decision Procedures for Ranking Means*“

Advisor: R.C. Bose

**William A. Thompson**

“*On the Ratio of Variances in the Mixed Incomplete Block Model*“

Advisor: R.C. Bose

**James F. Hannan**

“*Asymptotic Solutions of Compound Decision Problems*“

Advisor: W. Hoeffding

**Tadepalli Narayana**

“*Sequential Procedures in Probit Analysis*“

Advisor: R.C. Bose

**James Pachares**

“*On the Distribution of Quadratic forms*“

Advisor: S.N. Roy

**Paul N. Somerville**

“*Some Problems of Optimum Sampling*“

Advisor: N.L. Johnson

**Willard H. Clatworthy**

“*Partially Balanced Incomplete Block Designs with R < K*“

Advisor: R.C. Bose

**Meyer Dwass**

“*On the Large Sample Power of Certain Rank Order Tests*“

Advisor: W. Hoeffding

**Sudhish G. Ghurye**

“*Some Problems in the Theory of Stochastic Difference Equations*“

Advisor: H. Robbins

**William S. Connor**

“*The Structure of Balanced Incomplete Block Designs and the Impossibility of Certain Unsymmetrical Cases*“

Advisor: R.C. Bose

**Gopinath Kallianpur**

“*Some Topics in the Theory of Stochastic Processes*“

Advisor: H. Robbins

**Ingram Olkin**

“*On Distribution Problems in Multivariate Analysis*“

Advisor: S.N. Roy

**Milton E. Terry**

“*Some Rank Order Tests which are Most Powerful Against Specific Parametric Alternatives*“

Advisor: H. Hotelling

**R. Raj Bahadur**

“*On a Class of Decision Problems in the Theory of R Populations*“

Advisor: H. Robbins

**Kenneth A. Bush**

“*Orthogonal Arrays*“

Advisor: R.C. Bose

**Max Halperin**

“*Estimation in Truncated Sampling Processes*“

Advisor: H. Hotelling

**Sharad C. Shrikhande**

“*Construction of Partially Balanced Designs and Related Problems*“

Advisor: R.C. Bose

**Shantilal A. Vora**

“*Bounds on the Distribution of Chi-Square*“

Advisor: W. Hoeffding

**Ralph A. Bradley**

“*Sampling Distribution for Non-Normal Inverses*“

Advisor: H. Hotelling

**Uttam Chand**

“*On Certain Composite Hypotheses Concerning Regression Coefficients and Means*“

Advisor: H. Hotelling

**Dwarka N. Nanda**

“*Some Contributions to the Theory of Multivariate Analysis*“

Advisor: H. Hotelling

**George E. Nicholson**

“*The Application of a Regression Equation to a New Sample.*“

Advisor: H. Hotelling