2020

Student Seminar: Boxin Zhao
1:30–2:00 pm Via ZOOM
Master’s Thesis Presentation
BOXIN ZHAO, Department of Statistics, The University of Chicago
“FuDGE: Functional Differential Graph Estimation with Fully and Discretely Observed Curves”

Student Seminar: Fengshuo Zhang
3:00–4:00 pm Via Zoom
Dissertation Presentation and Defense
FENGSHUO ZHANG, Department of Statistics, The University of Chicago
“Statistical Guarantee of Variational Inference and Its Applications”

Student Seminar: Zhipeng Lou
2:00–3:00 pm Via ZOOM
Dissertation Presentation and Defense
ZHIPENG LOU, Department of Statistics, The University of Chicago
“High Dimensional Inference Based on Quadratic Forms”

Student Seminar: Bumeng Zhuo
2:30–4:00 pm Via ZOOM
Dissertation Presentation and Defense
BUMENG ZHUO, Department of Statistics, The University of Chicago
“Topics on Bayesian Inference Sampling Algorithms”

Student Seminar: Bryan Chang
3:00–3:30 pm Via ZOOM
Master’s Thesis Presentation
BRYAN CHANG, Department of Statistics, The University of Chicago
“Optimizing MLB’s Batter-Pitcher Matchup through a Representation Learning Approach”

Student Seminar: Minzhe Wang
1:30–2:30 pm Via ZOOM
Dissertation Presentation and Defense
MINZHE WANG, Department of Statistics, The University of Chicago
“Estimations in Topic Modeling”

Student Seminar: Gregory Naisat
1:00–2:30 pm Via ZOOM
Dissertation Presentation and Defense
GREGORY NAISAT, Department of Statistics, The University of Chicago
“Tropical Algebra and Algebraic Topology of Deep Neural Networks”

Student Seminar: Yi Liu
2:00–4:00 pm Via ZOOM
Dissertation Proposal Presentation
YI LIU, Department of Statistics, The University of Chicago
“Efficient Likelihood Free Bayesian Inference for High Dimensional Problems with Applications to the Study of Transcriptional Control”

Student Seminar: Sungil Kim
10:30–11:00 am Via ZOOM
Master’s Thesis Presentation
SUNGIL KIM, Department of Statistics, The University of Chicago
“TBA”

Statistics Colloquium: Fan Li
4:00–5:00 pm Jones 303
FAN LI, Departments of Statistical Science, Biostatistics, and Bioinformatics, Duke University
“Balancing Covariate Via Propensity Score Weighting”