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
- 597
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