项目作者： angel-davalos
项目描述 ：
This repository contains functions for obtaining posterior samples of allocation variables in multiple Bayesian over-fitted (sparse finite) mixed-scale mixture models. Mixture models included: 1) Bayesian Tensor Mixture of Product Kernels model (BayesTMPK), 2) Modularized Tensor Factorizations (MOTEF), 3) Bayesian Mixture of Product Kernels (BayesMPK), 4) Bayesian Mixture of Multivariate Gaussians (BayesMixMultGauss). Functions 1 and 2 include ability to model compositional data with essential zeros. Functions 3 and 4 include ability to model non-zero compositional data.
高级语言： MATLAB
项目地址: git://github.com/angel-davalos/Bayesian_OVfit_MixedScale_CompositionalData_MixtureModels.git
