2022
Student Seminar: Ahmed Bou-Rabee
1:50–2:50 pm In-Person and Remote
Dissertation Presentation and Defense
AHMED BOU-RABEE, Department of Statistics, The University of Chicago
“Symmetries and Patterns in Sandpiles”
Student Seminar: Jiacheng Wang
12:30–2:30 pm Jones 303
Dissertation Presentation and Defense
JIACHENG WANG, Department of Statistics, The University of Chicago
“Statistical Methods for Higher Order Tensor Clustering and Completion”
Student Seminar: Xialiang Dou
9:00–10:00 am Via Zoom
Dissertation Presentation and Defense
XIALIANG DOU, Department of Statistics, The University of Chicago
“Robustness and Model Adaptivity in Stochastic Programming”
Statistics Colloquium: Nihar B. Shah
4:30–5:30 pm Via Zoom
NIHAR B. SHAH, Departments of Machine Learning & Computer Science, Carnegie Mellon University
“Peer Review, Biases, and Statistics”
Student Seminar: Abby Stevens
2:00–3:00 pm In-Person Jones 304
Dissertation Presentation and Defense
ABBY STEVENS, Department of Statistics, The University of Chicago
“Interpretable Data Science: Applications and Theory in Climate Science and Public Health”
Student Seminar: Qiqi Liu
2:00–2:30 pm Jones 226
Master’s Thesis Presentation
QIQI LIU, Department of Statistics, The University of Chicago
“Strategies to Improve the Test Statistics for Searching for Consistent Associations with a Multi-environment Knockoff Filter”
Student Seminar: Qing Yan
10:00–11:30 am NOW REMOTE ONLY!
Dissertation Presentation and Defense
QING YAN, Department of Statistics, The University of Chicago
“Deep Generative Model: Design, Improve and Apply”
Statistics Colloquium: Guido Montufar
4:30–5:30 pm Via Zoom
GUIDO MONTÚFAR, Departments of Mathematics and Statistics, University of California, Los Angeles
“The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs”
Bahadur Memorial Lectures: Michael A. Newton
3:30–4:30 pm Jones 303
Lecture 21
Reception before the seminar in Jones 304.
MICHAEL A. NEWTON, Department of Statistics, University of Wisconsin
“Can clustering improve the performance of large-scale hypothesis testing? Ideas from an empirical Bayes lab”
Student Seminar: Yi Liu
3:00–5:30 pm Jones 304
Dissertation Presentation and Defense
YI LIU, Department of Statistics, The University of Chicago
“Non-parametric Bayesian Inference with Application to System Biology”