Dirichlet Process

Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data

Graphical Dirichlet process.

Blocked Gibbs Sampler for Hierarchical Dirichlet Processes

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) …

Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

A new Gaussian graphical model that produces subject-specific and predictive graphs with theoretical guarantee.

BAGEL: A Bayesian Graphical Model for Inferring Drug Effect on Depression Longitudinally in People with HIV

HIV Longitudinal Drug Effects on Mental Health

DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering

Deep Nonparametric Bayes Clustering

A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV

HIV Drug Combination Effects on Mental Health

Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering

Consensus variational inference.

Consensus Monte Carlo for Random Subsets using Shared Anchors

Consensus Monte Carlo algorithm for DP and IBP