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Christine Peterson

Associate Professor

Public Rice profile source

Average rating

3.6

6 temporary mock ratings

Difficulty

3.1

course-linked average

Courses

4

in seeded sections

Public profile

Courses taught

STAT 490

Undergraduate Research In Stat

This course provides 1-3 credit hours of credit for STAT majors who wish to pursue a research project of mutual interest to the student and a faculty member in a selected area of statistical specialization. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit.

StatisticsNone1-3 credits
3.18.4hBarman, Arko, Chi, Eric, Ensor, Katherine, Guerra, Rudy, Hopkins, Loren, Jackson, Mike, Kimmel, Marek, Lan, Xinjie, Li, Meng, McGuffey, Elizabeth, Peterson, Christine, Shaw, Chad, Vannucci, Marina, Viens, Frederi

STAT 590

Grad Research In Statistics

Research course for graduate level research in probability and statistics. This course provides 1-15 hours of credit for students who wish to pursue a statistical research project of mutual interest to the student and a faculty member. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit. Repeatable for Credit.

StatisticsNone1-15 credits
3.69.3hBarman, Arko, Chi, Eric, Ensor, Katherine, Guerra, Rudy, Hopkins, Loren, Jackson, Mike, Kimmel, Marek, Li, Meng, Luo, Hengrui, Merenyi, Erzsebet, Peterson, Christine, Shaw, Chad, Vannucci, Marina, Viens, Frederi, Wang, Wenyi, Yuan, Ying

STAT 607

Statistical Computing

The course is designed to prepare statistics graduate students for the computational aspects of statistical research. Topics will include important algorithms in frequentist and Bayesian computation (optimization and MCMC sampling methods), as well as practical tools for computational aspects of statistical research, including code profiling, debugging, cluster computing, source code management using Git/GitHub, reproducible research, and development of R packages and Shiny apps. The majority of instruction will be in the R programming language.

StatisticsNone3 credits
3.612.4hPeterson, Christine

STAT 800

Thesis

Thesis for Graduate Students. Repeatable for credit. Repeatable for Credit.

StatisticsNone1-15 credits
3.95.4hChi, Eric, Ensor, Katherine, Guerra, Rudy, Kimmel, Marek, Li, Meng, Luo, Hengrui, Merenyi, Erzsebet, Morris, Jeffrey S., Peterson, Christine, Segarra, Santiago, Sun, Ryan, Vannucci, Marina, Viens, Frederi, Yuan, Ying

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