Bayesian Nonparametric Federated Learning of Neural Networks

A non-parametric Bayesian approach to Hidden Markov Models

Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.

Hierarchical Dirichlet Process Generalized Linear Models

Bayesian Non-Parametric Spatio-Temporal Models for fMRI data

Apache PredictionIO Template: Bayesian Nonparametric Chinese Restaurant Process Clustering

User friendly MATLAB GUI for Bayesian nonparametric spatio-temporal modeling of fMRI data. Accompany paper: Kook et al. (2019). NPBayes-fMRI: Nonparametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. Statistics in Biosciences, 11(1), 3-21.

D-probabilities of parametric models using nonparametric model reference

Discovers nested gene co-expressing modules

Bayesian predictive model for personalized treatment selection for new untreated patients, which leverages known predictive and prognostic biomarkers. In particular, predictive biomarkers are exploited to inform a product partition model with covariates (PPMx) to obtain homogeneous clusters.

Code for my Project in Statistics: Nonparametric drift estimation of stochastic differential equations

The noparama software contains C++ Metropolis algorithms for nonparametric Bayesian models.

DPMP prior on model space