Yang Ni

Presentation: Robust Bayesian Learning for Individualized Treatment Rules under Unmeasured Confounding

Presentation: Clustering Spatial Transcriptomics Data with Dirichlet Process Mixture of Random Spanning Trees

Presentation: Directed Cyclic Graph learning using covariate via MCMC

Presentation: Bayesian Flexible Modeling of Spatially Resolved Transcriptomic Data

Presentation: Consistent DAG selection for Bayesian Causal Discovery under general error distributions

Presentation: Generalized Criterion for Identifiability of Additive Noise Models Using Majorization

Presentation: Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data