richardkwo / random-tree-parallel-MCMC
PART: a fast algorithm for aggregating MCMC sub-chain samples
☆10Updated 9 years ago
Alternatives and similar repositories for random-tree-parallel-MCMC:
Users that are interested in random-tree-parallel-MCMC are comparing it to the libraries listed below
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 9 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 5 years ago
- Bayesian Data Analysis demos for Matlab/Octave☆63Updated 5 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated 11 months ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Matlab toolbox for sparse regression☆26Updated 3 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- ☆15Updated 7 years ago
- Sequential Monte Carlo working on top of pymc☆50Updated 6 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- MCMC tools for Julia☆35Updated 11 years ago
- Julia package for Bayesian mixture models☆27Updated 4 years ago
- Repo for code from the SBC paper☆24Updated 5 years ago
- Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"☆35Updated 8 years ago
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- Code for AutoGP☆26Updated 5 years ago
- Causal Inference with Invariant Prediction☆25Updated 4 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 4 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆51Updated 6 years ago
- Generalized lasso implementations☆46Updated 4 months ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆60Updated 7 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Dirichlet process mixture model.☆26Updated 10 years ago
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- ABCpy package☆113Updated 9 months ago
- Disciplined convex stochastic programming. For the cvxstoc home page, please see:☆31Updated 4 years ago