Gibbs Sampler example with Hierarchical Bayes for inference

A fun package for exploring conjugate models and gibbs samplers.

Class project in Math Stats, link below:

The main goal of the project is to implement a Bayesian method, based on the TrueSkill ranking system to predict the match results between teams with the help of the previous matches scoring data. In this report, a comparison between two approximation methodologies will be conducted as well as a proposal for the Trueskill model enhancement.

Python Implementation of Bayesian inference for GMM

Gibbs Sampling & EM Algorithm Implementation / R Programming Language / on Iris Dataset

implement sampling methods

A fast Cython implementation of Latent Dirichlet Allocation using a Collapsed Gibbs Sampler.

Implementation of a Gaussian mixture model with Gibbs sampling.

Monte Carlo Markov Chain algorithms in R and Python

Reconstructing a black and white Japanese woodblock print using Bayesian inference

This is an implementation of Topic Modelling using Latent Dirichlet Allocation with collapsed Gibbs Sampling

Sample points on a disk with radius r that no two points is closer to each other than d

Topic modeling with Source-LDA using Gibbs sampling in Scala

Inference using Markov Chain Monte Carlo techniques

Bayesian inference tools, allowing to execute Gibbs sampling and run some diagnostics on results.

Multilevel Item Response Theory Models for STAT 525 Class

Exercises of my CST Part III Probabilistic Machine Learning (LE49) module

This repository consist of a compendium of assignments and their respective solutions for an advanced course in Applied Bayesian Statistics

Taxonomy for Recommender Systems