Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

This code belongs to paper entitled "An Online Semantic-enhanced Graphical Model for Evolving Short Text Stream Clustering"

Semi-parametric Bayesian model for pattern identification in a mutiple biomarkers dataset

Bayesian nonparametric clustering of functional data.

Statistical analysis and modeling using R, particularly with a focus on cluster analysis and visualization of probabilities

Experimental, possibly useful Bayesian models written in PyMC3

A Julia interface for Dirichlet process mixture (DPM) models using Neal's algorithm 3.

Dirichlet Process Mixture Model

Automatic story investigator of public perception on the mega urban infrastructure project

A statistical approach for clonal deconvolution in cancer using longitudinal NGS data

A demo of Dirichlet Distribution, Dirichlet Process and the Chinese Restaurant Process based GMM Clustering

DD2434 - Machine Learning Advanced projects at KTH.

Implementation of the Polya completion algorithm for uncertainty restoration of the marginal MDP model

Gibbs samplers for inferring latent variables and learning the parameters of Bayesian hierarchical models.

3CPET: Finding Co-factor Complexes in Chia-PET experiment using a Hierarchical Dirichlet Process

Clustering via Dirichlet Process Mixture Models

Codes for estimates of intensity functions parameters of multivariate counting processes and density estimation for latent variable.

Dirichlet Process Mixtures with the DPSearch algorithm.