2023 Bohrer Workshop in Statistics

Event Type

Ceremony/Service

Sponsor

Department of Statistics

Location

I-Hotel

Date

Apr 22, 2023   9:00 am - 8:00 pm  

Views

557

Originating Calendar

Department of Statistics Event Calendar

Time	Event
8:30 - 9:00 am	Breakfast – Alma Room
9:00 - 9:15 am	Opening Remarks – Lincoln Room
9:15 - 9:50 am	Lightning Talks Session 1  Anwesha Chakravarti: Optimizing Trap Placement to Predict West Nile Virus Cases  Yifan Chen: Statistical Leverage Score Approximation for Kernel Empirical Risk Minimization  Robert Garrett: A multivariate space-time dynamic model for characterizing pathways following the Mt. Pinatubo eruption  Byeongjip Kim: The Node Influence Mixed Membership Stochastic Block Models on Heterogeneous Networks
9:50 - 10:00 am	Break – Alma Room
10:00 - 10:50 am	Lightning Talks Session 2 – Lincoln Room  Abhishek Ojha: A Conditional Bayesian Approach with Valid Inference for High Dimensional Logistic Regression  Austin Warner: Online Change Diagnosis Using Physical Models  Theren Williams: Restricted HMM for Latent Class Attribute Transitions  Rentian Yao: On the convergence of Coordinate Wasserstein Proximal Gradient Flow  Yubo Zhuang: Wasserstein K-means for clustering probability distributions
10:50 - 11:00 am	Break – Alma Room
11:00 - 12:00 pm	Wijsman Lecture by Jelena Bradic: Exploring new venues in double robustness for treatment effects in dynamic settings
12:00 - 1:00 pm	Lunch – Alma Room
1:00 - 1:50 pm	Paper Session I – Lincoln Room Alton Barbehenn: Biomarker Imputation with Empirical Bayes Tobit Matrix Estimation  Kaustav Chakraborty: Efficient Model Fitting and Two-Sample Testing for Large Networks via Subsampling  Hanjia Gao: Dimension-agnostic Change Point Detection
1:50 - 2:00 pm	Break – Alma Room
2:00 - 2:50 pm	Paper Session II – Lincoln Room Yuhan Li: Quasi-optimal Reinforcement Learning with Continuous Actions  Diptarka Saha: Probabilistic Guarantees on Sensitivities of Bayesian Neural Network  Adam Tonks: Spatiotemporal assessment of regional flooding risk across the contiguous United States using 2-D spline models
2:50 - 3:00 pm	Break – Alma Room
3:00 - 3:50 pm	Norton Session – Lincoln Room Anamitra Chaudhuri (Honorable Mention): Joint Sequential Detection and Isolation of a Dependence Structure  Rong Tang (Norton Winner): Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood
3:50 - 4:00 pm	Break – Alma Room
4:00 - 5:00 pm	Bohrer Lecture by Andrew Barron: Information Theory in Statistical Learning: Foundations and a Modern Perspective
5:00 - 6:00 pm	Award Presentations and Poster Session – Alma Room
6:00 - 8:00 pm	Dinner – Alma Room