Zhimei Ren

All Courses

• STAT4310 - Statistical Inference

  Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course. This course does not have business applications but has significant overlap with STAT 1010 and 1020. This course may be taken concurrently with the prerequisite with instructor permission.

• STAT9910 - Sem in Adv Appl of Stat

  This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

• STAT9990 - Independent Study

  Written permission of instructor and the department course coordinator required to enroll.

• Rising Star in Data Science, University of Chicago, 2022
• Waterloo Student Conference Presentation Award, University of Waterloo, 2021
• First Prize of the 2018 Citadel Datathon, Stanford University, 2018