318 Hanes Hall, CB #3260 Chapel Hill, NC 27599-3260
919-843-6024
919-962-1329
stor@unc.edu
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Statistics & Operations Research

The Department of Statistics and Operations Research specializes in inference, decision-making, and data analysis involving complex models and systems exhibiting both deterministic and random behavior. We focus on developing and analyzing the necessary quantitative and computational tools to enable practitioners to solve problems in statistical and probabilistic analysis, modeling, optimization, and the evaluation of system performance.
Our research work is at the core of Data Science, Machine Learning/AI, Analytics, Network Science and related fields.

News

Research

Optimization

 

Optimization
The research of the Optimization group covers a wide range of topics, such as convex and variational analysis, semidefinite programming, convex and nonconvex programming, complementarity problems and variational inequalities, integer programming, and optimal control…

Probability

 

Probability
The Probability group encompasses a wide range of research interests and research expertise including, Extreme Value Theory and stochastic dynamical systems with applications in Engineering, Oceanographic, Environmental and Biomedical sciences; Stochastic Analysis, Large Deviations…

Statistics

 

Statistics
The research interests and expertise of the Statistics group encompass many active areas of statistical research and application, including inference for complex data, time series, and dynamical systems, machine learning, network analysis, environmental statistics, statistical genomics, and financial…

Stochastic Modeling

 

Stochastic Modeling
The Stochastic Modeling group mainly focuses on decision making under uncertainty in complex, dynamic systems, and emphasizes practical relevance. Standard stochastic methodological and modeling techniques like discrete and continuous-time Markov chains, renewal and regenerative…

Teaching

Teaching

The department runs highly popular Statistics and Analytics (STAN) major and minor, and partners for Data Science (DS) minor. Our offerings include “Foundations of Statistics and Data Science” (STOR 120), “Introduction to Data Science” (STOR 320), “Sports Analytics” (STOR 538) and many other highly sought undergraduate courses.

Our graduate MS and Ph.D. programs in Statistics and Operations Research provide challenging and comprehensive training across the full spectrum of STOR.

Outreach

Outreach

The department runs the UNC Statistical / Data Science Consulting Center, which serves clients across campus and elsewhere. Under the supervision of faculty members, graduate students work with the clients to address their statistical & data science questions.

Separately, STOR graduate students run the Data Outreach Program for Students (Data OPS) aimed at educating local K-12 students in data science topics.

Upcoming Events

There are no upcoming events at this time

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Odum_InstituteOdum Institute@Odum_Institute·

#DataMatters Instructor Bio: Yufeng Liu is a Professor in the Department of #Statistics / #OperationsResearch @uncstor the Department of #Biostatistics @uncbiostat + the Department of #Genetics at @UNC. Learn more: http://datamatters.org

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UNCResearchUNC Research@UNCResearch·

"AI can be easily fooled." That's Yao Li's #research in 5 words. As a @UNC assistant professor of statistics & operations research, Li focuses on developing efficient and robust machine learning models to solve real-world problems. #RUNC https://unc.live/3uEgYta

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unccollegeUNC College of Arts & Sciences@unccollege·

🏅 New national rankings are in for many of the departments in the College of Arts & Sciences! Explore this year's rankings: https://college.unc.edu/2022/03/us-news-rankings-2023/

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moreheadplanetMorehead Planetarium & Science Center@moreheadplanet·

What joy it was to share science with you!

The UNC Science Expo, a signature @ncscifest event, returned as a full-scale celebration of science. Hundreds of @UNC scientists came together to share their amazing research.

📸: @UNCResearch
Sponsor: @GileadSciences

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