2021
Statistics Colloquium: Tetsuya Kaji
4:00–5:00 pm Via ZOOM
TETSUYA KAJI, University of Chicago Booth School of Business
“An Approximate Metropolis-Hastings Algorithm for Simulation-Based Bayesian Inference (with Veronika Ročková)”
Booth Winter 2021 Pre-registration
10:00–11:00 am
Booth Winter 2021 Pre-registration link opens at 10 a.m.
2020
Student Seminar: Andrew Goldstein
1:00–2:00 pm Via Zoom
Dissertation Proposal Presentation
ANDREW GOLDSTEIN, Department of Statistics, The University of Chicago
“VEB-Boost: Variational Empirical Bayes Boosting”
Statistics Colloquium: Kristian Lum
4:00–5:00 pm Via Zoom
KRISTIAN LUM, Human Rights Data Analysis Group
“Closer Than They Appear: A Bayesian Perspective on Individual Probabilities in Risk Assessment”
Student Seminar: Zhan Lin
1:30–2:30 pm Via Zoom
Dissertation Proposal Presentation
ZHAN LIN, Department of Statistics, The University of Chicago
“Risk Averse Control with Mixture of Gaussian Noise”
Statistics Colloquium: Ruobin Gong
4:00–5:00 pm Via Zoom
RUOBIN GONG, Department of Statistics, Rutgers University
“Towards Good Statistical Inference from Differentially Private Data”
Student Seminar: Yonghoon Lee
12:30–1:30 pm Via Zoom
Dissertation Proposal Presentation
YONGHOON LEE, Department of Statistics, The University of Chicago
“Binary Classification with Corrupted Labels and Distribution-free Inference with Atoms”
Student Seminar: Pinhan Chen
2:00–3:00 pm Via Zoom
Dissertation Proposal Presentation
PINHAN CHEN, Department of Statistics, The University of Chicago
“Rank, Ranking and Phase Transition”
Student Seminar: Qing Yan
11:00 am–12:00 pm Via ZOOM
Dissertation Proposal Presentation
Qing Yan, Department of Statistics, The University of Chicago
“Deep Generative Model: Apply, Design and Improve”
Statistics Colloquium: Paul Rathouz
4:00–5:00 pm Via Zoom
PAUL RATHOUZ, Department of Population Health, The University of Texas at Austin
“Semiparametric Generalized Linear Models: Small, Large, and Biased Samples”