2021
Student Seminar: Zihao Zheng
8:30–9:00 am Via Zoom
Master’s Thesis Presentation
ZIHAO ZHENG, Department of Statistics, The University of Chicago
“Inference of Trends in Time Series”
Named Professor Lecture Series: Matthew Stephens
1:00–1:45 pm Via Zoom
Matthew Stephens, Ralph W. Gerard Professor
Departments of Statistics and Human Genetics, and the College
“Finding and Exploiting Structure in Genetic Data”
Statistics Colloquium: Mariya Toneva
4:00–5:00 pm Via Zoom
Joint Seminar with the Department of Computer Science
MARIYA TONEVA, Machine Learning Department & The Neuroscience Institute, Carnegie Mellon University
“Data-Driven Transfer of Insight Between Brains and AI Systems”
Statistics Colloquium: Weihao Kong
4:00–5:00 pm Via Zoom
WEDNESDAY, January 27, 2021, at 4:00 PM, Via Zoom
Joint Seminar with the Department of Computer Science
WEIHAO KONG, University of Washington
“The Surprising Power of Little Data”
Statistics Colloquium: Rebekka Burkholz
4:00–5:00 pm Via Zoom
Joint Seminar with the Department of Computer Science
REBEKKA BURKHOLZ, Department of Biostatistics, Harvard T.H. Chan School of Public Health
“Cascade Processes in Machine Learning”
Student Seminar: Wenxuan Guo
9:30–10:30 am Via Zoom
Master’s Thesis Presentation
WENXUAN GUO, Department of Statistics, The University of Chicago
“Statistics of the Shepp p-Product”
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. CST
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”