Posts about papers, events, news, and more
Chao Cheng will present identification and multiply robust estimators for causal mediation analysis across principal strata.
Jordan Bryan will discuss nonlinear estimators that use endmember variance information to improve spectral unmixing.
Honglang Wang will lead a workshop on conducting research with AI while preserving expert judgment and verification.
Caihong Qin will present a shared-basis neural-network approach to subject-specific density estimation.
Yishan Cui successfully defended his thesis.
We will have journal club in spring 2025 focusing on large language models.
Nice course projects for statistical computing and applied linear regression.
Ran Mo successfully defended his thesis.
Honglang Wang will present the work on Dominant-Set Based Clustering For Functional Data
