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 13
Speaker: Wei Yang (Binghamton University)
Title: Unitary Neural Networks Abstract
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: 2023/08/26 19:23 by qyu