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Statistics Seminar

The Statistics Seminar was organized by Chuan-Fa Tang and Qiwei Li in Spring 2022.

Time Location Speaker Title
Jan 21, 3:30 pm Online Li Wang
Asst Professor
UT Arlington
Probabilistic semi-supervised learning via sparse graph structure learning
[Slides][Recording]
Jan 28, 3:30 pm Online Yingbo Li
Data Scientist
Capital One
Automating data monitoring using multiple change-point detection
[Slides]
Jan 28, 3:30 pm Online Yingru Xu
Principal Assoc
Capital One
Automating data monitoring using a novel change-point detection algorithm: From design to implementation [Slides]
Feb 4, 3:30 pm Online Qing Li
Asst Professor
Iowa State
Change-points detection in the recurrent-event context via Bayesian inference
[Slides][Recording]
Feb 11, 9:30 am ECSW 1.315 and Online Guanyu Hu
Asst Professor
Missouri
Bayesian heterogeneity learning for field goal attempts of professional basketball players
[Slides][Recording]
Feb 18, 3:30 pm FO 1.502 and Online Andrey Sarantsev
Asst Professor
Nevada
A new valuation measure for the stock market
[Slides][Recording]
Mar 4, 3:30 pm FO 1.502 and Online Quan Zhou
Asst Professor
Texas A&M
Informed MCMC sampling for high-dimensional model selection problems
[Slides][Recording]
Mar 11, 3:30 pm Online Alberto Cassese
Asst Professor
Maastricht U, Netherland
A Bayesian nonparametric spiked process prior for dynamic model selection
[Slides][Recording]
Mar 25, 3:30 pm FO 1.502 and Online Yulun Liu
Asst Professor
UT Southwestern
Network meta-analysis: Methodology and application
[Slides][Recording]
Apr 1, 11:00 am ECSW 1.315 and Online Jeffrey Morris
Professor
UPenn
A seat at the table: The key role of biostatistics and data science in the COVID-19 pandemic
[Slides][Recording]
Apr 8, 3:30 pm FO 1.502 and Online Hong Zhu
Assoc Professor
UT Southwestern
Regression modeling of restricted mean survival time for left-truncated right-censored data based on pseudo-observations
[Slides][Recording]
Apr 15, 3:30 pm FO 1.502 and Online Zhandong Liu
Assoc Professor
BCM
Solving the undiagnosed diseases through machine learning
[Slides]
[Recording]
Apr 22, 3:30 pm FO 1.502 and Online Boxiang Wang
Asst Professor
Iowa
A consolidated cross-validation algorithm for support vector machines via data reduction
[Slides][Recording]
Apr 29, 11:00 am ECSW 1.315 and Online Daniel Heitjan
Professor
SMU
Causal inference in observational studies: Examples from clinical research
[Slides][Recording]