Graphical Dirichlet process.
Posterior computation in hierarchical Dirichlet process (HDP) mixture models is an active area of research in nonparametric Bayes inference of grouped data. Existing literature almost exclusively focuses on the Chinese restaurant franchise (CRF) …
Recent technologies such as spatial transcriptomics, enable the measurement of gene expressions at the single-cell level along with the spatial locations of these cells in the tissue. Spatial clustering of the cells provides valuable insights into …
Bayesian multi-way clustering.
A new Gaussian graphical model that produces subject-specific and predictive graphs with theoretical guarantee.
Bayesian integrative matrix factorization.
HIV Longitudinal Drug Effects on Mental Health
HIV Drug Combination Effects on Mental Health
Bayesian biclustering via multinomial matrix factorization.
Consensus variational inference.
Consensus Monte Carlo algorithm for DP and IBP
A categorical matrix factorization method to infer latent diseases from EHR data.
A scalable Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification.
A hierarchical reciprocal graphical models to infer gene networks from heterogeneous data with or without known groups.