Erik Bates Department of Mathematics North Carolina State University Title: The Busemann process of (1+1)-dimensional directed polymers Abstract: Directed polymers are a statistical mechanics model for random growth. Their partition functions are solutions to a discrete stochastic heat equation. … Read more
Models of Patient Access and Payment Parity in Telehealth In response to the increased use of telehealth to replace traditional office visits with a physician, several US states and Medicare have adopted or proposed telehealth payment parity policies. These policies … Read more
Sufficient linear complementarity problems: algorithms and computational results Linear complementarity problems (LCP) generalize some fundamental problems of mathematical optimization like linear programming (LP) problem, linearly constrained quadratic programming (LQP) problem and some other. It admits an enormous number of applications … Read more
Introduction to Stein’s method Abstract: In this lecture series I will give a gentle introduction to Stein's method for proving distributional convergence. In 1972 Charles Stein combined Gaussian integration by parts with a certain “noise robustness” property of a sequence … Read more
Introduction to Stein’s method Abstract: In this lecture series I will give a gentle introduction to Stein's method for proving distributional convergence. In 1972 Charles Stein combined Gaussian integration by parts with a certain “noise robustness” property of a sequence … Read more
Introduction to Stein’s method Abstract: In this lecture series I will give a gentle introduction to Stein's method for proving distributional convergence. In 1972 Charles Stein combined Gaussian integration by parts with a certain “noise robustness” property of a sequence … Read more
Introduction to Stein’s method Abstract: In this lecture series I will give a gentle introduction to Stein's method for proving distributional convergence. In 1972 Charles Stein combined Gaussian integration by parts with a certain “noise robustness” property of a sequence … Read more
Introduction to Stein’s method Abstract: In this lecture series I will give a gentle introduction to Stein's method for proving distributional convergence. In 1972 Charles Stein combined Gaussian integration by parts with a certain “noise robustness” property of a sequence … Read more
The Department of Statistics and Operations Research The University of North Carolina at Chapel Hill Graduate Student Seminar Friday, April 28th, 2023 120 Hanes Hall 3:30-4:30pm or via Zoom: https://unc.zoom.us/j/92731259806?pwd=eTc3Ylo0SWNFOHV4eERvSjRrUmlKQT09 Meeting ID: 927 3125 9806 Passcode: 100210 Prabhanka Deka UNC … Read more
The Department of Statistics and Operations Research The University of North Carolina at Chapel Hill Graduate Student Seminar Friday, April 14th, 2023 120 Hanes Hall 3:30-4:30pm or via Zoom: https://unc.zoom.us/j/92731259806?pwd=eTc3Ylo0SWNFOHV4eERvSjRrUmlKQT09 Meeting ID: 927 3125 9806 Passcode: 100210 Vasileios Katsianos University … Read more
Uncovering the Interpretability and Identifiability of Gaussian Processes: From Application to Theory Gaussian processes (GPs) are widely employed as versatile modeling and predictive tools in spatial statistics, functional data analysis, computer modeling and diverse applications of machine learning. While … Read more
