seminars:stat:spring2023
Spring 2023
- January 19
No seminar
- January 26
Speaker: Wenshu Dai (Binghamton University)
Title: Model-based clustering of longitudinal data
Abstract
- February 2
Speaker: Xinhai Zhang (Binghamton University)
Title: Estimating individual treatment effects under unobserved confounding using binary instruments
Abstract
- February 9
Speaker: Zhou Wang (Binghamton University)
Title: Neural Contextual Bandits with Deep Representation and Shallow Exploration
Abstract
- February 16
No seminar
- February 23
(Zoom) Speaker: Tirthankar Dasgupta (Rutgers University)
Title: Bayesian perspectives in causal inference
Abstract
- March 2
No seminar (university break)
- March 9
Speaker: Baozhen Wang (Binghamton University)
Title: Combining p-values via averaging
Abstract
- March 16
Speaker: Zifan Huang (Binghamton University)
Title: Estimations of variances of the MLE parameters under the multiple linear regression model and the uniform distribution
Abstract
- March 23
Speaker: Jason M Klusowski (Princeton University)
Title: Are Decision Trees as Powerful as Neural Networks?
Abstract
- March 30
Speaker: Ruoqi Yu (UC Davis) online via zoom
Title: Balancing weights in observational factorial studies
Abstract
- April 6
No Seminar (Spring break)
- April 20
Speaker: Jingze Liu (Binghamton University)
Title (ABD talk): Statistical Inference using Generative Adversarial Networks
Abstract
- April 25 (12 pm)
Data Science Seminar time
Speaker: Yangsheng Wang (Binghamton University)
Title: NONPARAMETRIC REGRESSION FOR REPEATED MEASUREMENTS WITH DEEP NEURAL NETWORKS
Abstract
- April 27
Data Science seminar speaker
Speaker: Runze Li (Penn State)
- May 4
Speaker: Geran Zhao (Binghamton University)
Title: Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Abstract
seminars/stat/spring2023.txt · Last modified: by qyu