Alternatives and similar repositories for pmh-tutorial:

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

• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• alfredgalichon / OTME
  Programs for Optimal Transport Methods in Economics
  ☆32Updated 5 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆34Updated last year
• lawmurray / LibBi
  Bayesian state-space modelling on high-performance hardware, including multicore, GPUs and distributed clusters.
  ☆99Updated last year
• ChadFulton / pymar
  Markov Switching Models for Statsmodels
  ☆22Updated 8 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆44Updated 6 months ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆43Updated 8 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆24Updated 2 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated last week
• alfredgalichon / VQR
  Code for Vector Quantile Regression (Carlier, Chernozhukov, Galichon, Annals of Statistics, 2016)
  ☆16Updated 3 years ago
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated 2 weeks ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• cdrovandi / Bayesian-Synthetic-Likelihood
  Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27,…
  ☆13Updated 7 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆76Updated last year
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆12Updated 7 years ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆41Updated 6 years ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• LeopoldoCatania / GAS
  GAS models
  ☆34Updated 3 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 6 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆25Updated 5 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆58Updated 5 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 8 years ago
• MaggieLieu / STAN_tutorials
  ☆30Updated 4 years ago
• anfelopera / lineqGPR
  Gaussian processes regression models with linear inequality constraints
  ☆14Updated 8 months ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 4 months ago
• vinecopulib / vinecopulib
  A C++ library for vine copula models (w/ interfaces to R + Python)
  ☆34Updated this week