Alternatives and similar repositories for mcmc-tutorial:

Users that are interested in mcmc-tutorial are comparing it to the libraries listed below

• Joseph94m / MCMC
  Implementation of Markov Chain Monte Carlo in Python from scratch
  ☆211Updated 4 years ago
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆18Updated 4 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 9 months ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• phuijse / P4J
  Periodic time series analysis tools based on information theory
  ☆55Updated 10 months ago
• bobflagg / gibbs-sampling-for-the-uninitiated
  Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty
  ☆14Updated 7 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆99Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 5 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• ColCarroll / hamiltonian_monte_carlo_talk
  Essay on Hamiltonian Monte Carlo in PyMC3
  ☆14Updated last year
• cliburn / sta-663-2018
  ☆72Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆134Updated 4 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆217Updated 2 years ago
• vsmolyakov / ml
  machine learning
  ☆38Updated 6 years ago
• charlieblue17 / timeseries2018
  Course page for DS-GA 3001.001 Modeling Time Series Data
  ☆44Updated 6 years ago
• dioph / periodicity
  Useful tools for periodicity analysis in time series data.
  ☆37Updated 7 months ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated last month
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 7 years ago
• isadoranun / FATS
  ☆75Updated last year
• volflow / Expectation-Maximization
  Notebook with implementation and visualization of Gaussian Mixtures and the EM Algorithm
  ☆12Updated 6 years ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 7 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆40Updated 5 years ago
• USC-Melady / Granger-causality
  This repository contains efficient implementation of Granger causality and its extensions. Please see the wiki page for instructions.
  ☆21Updated 10 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 5 years ago
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆39Updated 8 years ago
• danielefranceschi / lstm-climatological-time-series
  Experiments in climatological time series analysis using deep learning
  ☆26Updated 7 years ago
• dfagnan / QuantileRandomForestRegressor
  Python Implementation of Quantile Random Forest Regression
  ☆12Updated 10 years ago