Unsupervised Learning of Mixture of von Mises-Fisher distributions using Minimum Message Length
-
Updated
Jan 27, 2018 - MATLAB
Unsupervised Learning of Mixture of von Mises-Fisher distributions using Minimum Message Length
Replication package for Abbring and Salimans (2021), "The Likelihood of Mixed Hitting Times," with MATLAB code for estimating mixed hitting-time models
Fast Expectation Maximization (EM) algorithm for weighted samples in MATLAB
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 (Bay…
Add a description, image, and links to the mixture topic page so that developers can more easily learn about it.
To associate your repository with the mixture topic, visit your repo's landing page and select "manage topics."