Projects in Awesome Lists tagged with mcmc

https://github.com/bearloga/mlpugs

An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

classification machine-learning mcmc multi-label-classification r r-package rstats supervised-learning

Last synced: 12 Oct 2024

https://github.com/simonrw/rust-emcee

A re-implementation of emcee in rust

analysis fitting mcmc rust science

Last synced: 24 Oct 2024

https://github.com/thiery-lab/manifold-mcmc-for-diffusions

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'

diffusions hmc mcmc sde

Last synced: 30 Oct 2024

https://github.com/argiopetech/base

Bayesian Analysis for Stellar Evolution

astronomy bayesian-analysis bayesian-statistics c-plus-plus mcmc

Last synced: 15 Nov 2024

https://github.com/johannesbuchner/pinnuts

PinNUTS🥜 is dynamic Hamiltonian Monte Carlo algorithm implemented in Python

hamiltonian-monte-carlo mcmc monte-carlo no-u-turn-sampler pure-python

Last synced: 23 Nov 2024

https://poissonconsulting.github.io/term/

An R package to manipulate the names of parameters terms

coefficients cran mcmc r rstats term

Last synced: 30 Oct 2024

https://github.com/poissonconsulting/term

An R package to manipulate the names of parameters terms

coefficients cran mcmc r rstats term

Last synced: 06 Dec 2024

https://github.com/fweber144/shinybrms

An R package providing a GUI ('shiny' app) for the R package 'brms'.

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-statistics brms cmdstanr gui mcmc r r-package rstan shiny shiny-app stan statistical-analysis statistical-inference statistical-models statistics

Last synced: 12 Nov 2024

https://github.com/mattpitkin/theonlinemcmc

The Online MCMC

bayesian-inference mcmc

Last synced: 01 Dec 2024

https://github.com/petrushev/bayesian-modeling

Case studies with Bayesian methods

bayesian-data-analysis bayesian-inference bayesian-methods hierarchical-models jupyter-notebook mcmc multilevel-models pymc3 python statistical-models

Last synced: 07 Nov 2024

https://github.com/stdlib-js/nlp-lda

Latent Dirichlet Allocation via collapsed Gibbs sampling.

bayesian clustering javascript learning mcmc mixed-membership model nlp node node-js nodejs stdlib text-mining topic unsupervised

Last synced: 06 Nov 2024

https://github.com/mattpitkin/yamm

Yet Another Matlab MCMC code

bayesian-inference mcmc

Last synced: 01 Dec 2024

https://github.com/johannesbuchner/autoemcee

Run MCMC automatically to convergence

bayesian-inference mcmc monte-carlo parallel-computing

Last synced: 23 Nov 2024

https://github.com/thiery-lab/manifold_lifting

Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'

bayesian-inference hmc inverse-problems mcmc

Last synced: 30 Oct 2024

https://github.com/zziz/mc

Monte Carlo methods with TensorFlow

machine-learning mcmc monte-carlo particle-filter rejection-sampling tensorflow

Last synced: 20 Nov 2024

https://github.com/kthohr/bmlib

Bayesian Macroeconometrics C++ Library

bayesian bayesian-inference bvar c-plus-plus cpp cpp11 dsge mcmc

Last synced: 30 Oct 2024

https://github.com/jgabry/lander-stan-class-2023

Materials for Bayes/Stan workshop using CmdStanR

bayesian mcmc stan

Last synced: 30 Nov 2024

https://github.com/hasnainraz/point-estimate-methods-and-samplers

Monte Carlo simulations and Point Estimate Methods

mcmc monte-carlo-simulation pem point-estimate-methods sampler simulation

Last synced: 12 Nov 2024

https://github.com/mcol/hsstan

An R package for biomarker discovery using Bayesian models implemented in Stan

bayesian feature-selection mcmc r-package

Last synced: 12 Nov 2024

https://github.com/beekill95/numpyro-doing-bayesian

My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.

bayesian-data-analysis bayesian-inference dbda2e hierarchical-models kruschke mcmc numpyro probabilistic-programming

Last synced: 14 Nov 2024

https://github.com/nftqcd/fthmc

Flowed HMC for Lattice Gauge Theory

lattice-field-theory machine-learning mcmc

Last synced: 30 Oct 2024

https://github.com/lzhbrian/mcmc

An introduction of MCMC, implementation of TAP, AIS, RTS algorithm to estimate the partition function of an RBM (Project of Stochastic Process course)

ais matlab mcmc rbm rts tap

Last synced: 07 Nov 2024

https://github.com/matt-graham/differentiable-generative-models

Inference in differentiable generative models

abc hmc mcmc

Last synced: 06 Dec 2024

https://github.com/endymecy/mcmc-sampling

The theory and implement of Metropolis Hastings Algorithm and Gibbs sampling

mcmc

Last synced: 25 Nov 2024

https://github.com/kdl-umass/causalgpslc.jl

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

bayesian-inference causal-inference gen julia-language machine-learning mcmc

Last synced: 12 Oct 2024

https://github.com/m-clark/mcmc-algorithms

Raw files for a document providing a list of mcmc algorithm descriptions.

bayesian-methods laplaces-demon mcmc

Last synced: 29 Nov 2024

https://github.com/baggepinnen/turing2montecarlomeasurements.jl

Interface between Turing.jl and MonteCarloMeasurements.jl

bayesian-inference bayesian-statistics mcmc probabilistic-programming uncertainty-propagation visualization

Last synced: 21 Nov 2024

https://github.com/isms/mcmc-rs

A Rust library implementing various MCMC diagnostics and utilities, such as Gelman Rubin potential scale reduction factor (R hat), effective sample size, chain splitting, and others.

mcmc mcmc-diagnostics probabilistic-programming statistics

Last synced: 17 Dec 2024

https://github.com/marius311/cosmoslik

Cosmology Sampler of LIKelihoods

cosmology likelihood mcmc

Last synced: 26 Oct 2024

https://github.com/lanl/pydna_epbd

pyDNA-EPBD: A Python-based Implementation of the Extended Peyrard-Bishop-Dauxois Model for DNA Breathing Dynamics Simulation

dna dna-breathing flipping-characteristics genomics mcmc metropolis-hastings

Last synced: 09 Dec 2024

https://github.com/matt-graham/auxiliary-pm-mcmc

Auxiliary pseudo-marginal MCMC python implementations

mcmc pseudo-marginal

Last synced: 06 Dec 2024

https://github.com/xgarrido/spt_likelihoods

Cobaya likelihoods for SPT experiment

cobaya likelihood mcmc

Last synced: 27 Oct 2024

https://github.com/damascenorafael/mcmc-knapsack-problem

Python development to solve the 0/1 Knapsack Problem using Markov Chain Monte Carlo techniques, dynamic programming and greedy algorithm.

hill-climbing knapsack knapsack-problem markov-chain mcmc metropolis-hastings monte-carlo random-walk simulated-annealing

Last synced: 15 Nov 2024

https://github.com/kaybenleroll/stancasestudy_losscurves

This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.

claims-reserving insurance mcmc stan

Last synced: 13 Nov 2024

https://github.com/nolanbconaway/shabadoo

Very easy Bayesian regression.

bayesian-inference bayesian-statistics jax mcmc numpyro python regression

Last synced: 22 Dec 2024

https://github.com/bluebrain/emodel-generalisation

Generalisation of electrical models of neurons with MCMC

electrophysiology generalisation mcmc neuron

Last synced: 19 Nov 2024

https://github.com/bdilday/lwrels

baseball baseball-analysis-packages baseball-statistics bayesian-inference mcmc r stan

Last synced: 18 Nov 2024

https://github.com/kthohr/bayesianquantileregression

Bayesian Quantile Regression

bayesian mcmc quantile-regression

Last synced: 18 Dec 2024

https://github.com/tomicapretto/shiny-hmc

A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo

bayesian-statistics hmc mcmc

Last synced: 15 Oct 2024

https://github.com/salleuska/fastcppp

Supplementary code for the paper "Computational methods for fast Bayesian hierarchical model assessment via calibrated posterior p-values."

bayesian-inference mcmc r statistics

Last synced: 18 Nov 2024

https://github.com/ardiad/admit

Adaptive Mixture of Student-t distributions

adaptive distribution fitting mcmc mixture mixture-model

Last synced: 28 Nov 2024

https://github.com/robinka/bayesian-notebooks

Some notebooks for learning about bayesian models

bayesian-inference learning mcmc metropolis-hastings monte-carlo notebook numpy probability python

Last synced: 13 Nov 2024

https://github.com/matt-graham/boltzmann-machine-tools

Python tools for analysing Boltzmann machine distributions

boltzmann-machines cython ising-model mcmc

Last synced: 06 Dec 2024

https://github.com/emanuelhuber/emanuelhuber.github.io

Research website

braided-river emanuel geophysics ground-penetrating-radar huber hydrogeology marked-point-process mcmc research sensitivity-analysis uncertainty-quantification

Last synced: 09 Nov 2024

https://github.com/phineas-pta/bayesian-methods-for-hackers-using-pystan

"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)

bayesian-data-analysis bayesian-statistics cmdstan cmdstanpy mcmc pystan stan

Last synced: 14 Oct 2024

https://github.com/zoj613/occuspytial

A package for fast bayesian analysis of single season spatial occupancy models.

markov-chain-monte-carlo mcmc occupancy-detection occupancy-modeling spatial-statistics species-occupancy

Last synced: 13 Nov 2024

https://github.com/mrtkp9993/bayesciistatistik

Bayesci istatistiğe giriş.

bayesian-statistics mcmc

Last synced: 17 Nov 2024

https://github.com/4ment/flc

Local clock model using relaxed and strict clocks

bayesian beast2 mcmc phylogenetics

Last synced: 07 Nov 2024

https://github.com/hw2814/dust-SED-pymc3

Fitting a modified black body spectrum to FIR flux measurements using PyMC3

astrophysics curve-fitting mcmc physics pymc3

Last synced: 23 Oct 2024

https://github.com/bonStats/smcdar

Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"

delayed-acceptance mcmc smc surrogate-models

Last synced: 23 Nov 2024

https://github.com/daniel-furman/lwmcmc

MCMC parameter space sampling via Metropolis-Hastings

bayesian-inference mcmc metropolis-hastings-algorithm numpy parameter-space-sampling

Last synced: 11 Nov 2024

https://github.com/igutierrezm/walker2020sampling.jl

Sampling from an unnormalized pdf in Julia using Walker's MCMC algorithm

julia mcmc walker-algorithm

Last synced: 01 Dec 2024

https://github.com/kisungyou/samcpack

Stochastic Approximation Monte Carlo (SAMC) Sampler and Methods

bayesian-inference mcmc mcmc-sampler

Last synced: 13 Nov 2024

https://github.com/athowes/meld

Markov melding

evidence-synthesis markov-melding mcmc

Last synced: 16 Nov 2024

https://github.com/sunsided/convchain-rs

Bitmap generation from a single example with convolutions and MCMC - a Rust port of ConvChain.

game-development mcmc procedural-generation rust texture-synthesis

Last synced: 20 Dec 2024

https://github.com/benjaminrose/mc-age

The code to analyze SEDs of SN Ia environments to calculate ages and compare to Hubble parameters

age cosmology hubble-diagram local-environment mcmc supernova type-ia

Last synced: 28 Dec 2024

https://github.com/njroussel/simulatedannealing

A C++ implementation of simulated annealing for the Ising perceptron.

annealing cpp eigen jupyter mcmc mcmc-sampler pybind11 python

Last synced: 19 Nov 2024

https://github.com/andrewwango/gpr-mcmc

Gaussian Process Regression (GPR) with non-Gaussian likelihoods using robust infinite-dimension Monte Carlo Markov Chain (MCMC) sampling for spatial inference problems

gaussian-process-regression gaussian-processes mcmc monte-carlo-markov-chain preconditioned-crank-nicholson spatial-interpolation spatial-regression

Last synced: 08 Dec 2024

https://github.com/quatrope/automix

A refactoring of David Hastie's AutoMix Reversible Jump MCMC

automix mcmc mcmc-sampler reversible-jump-mcmc sampler

Last synced: 30 Dec 2024

https://github.com/nfultz/hgrecap

MCMC for hypergeometric model of size

mcmc

Last synced: 11 Nov 2024

https://github.com/sgibson91/mcmc-example

A Jupyter Notebook discussing Bayesian theory, Markov Chain Monte Carlo and the Affine Invariant Ensemble Sampler

bayesian-statistics binder-ready mcmc mcmc-sampler python python3

Last synced: 13 Nov 2024

https://github.com/grfrederic/identifiability

Supplementary code for studying non-identifiable models using MCMC simulations used in the research article "Predictive power of non-identifiable models".

bayesian mcmc non-identifiability ode systems-biology

Last synced: 20 Dec 2024

https://github.com/hammerlab/stancache

Filecache for stan models

filecache mcmc reproducible-research stan-model

Last synced: 11 Nov 2024

https://github.com/ondrejbiza/mcmc

Markov Chain Monte Carlo methods.

mcmc mcmc-sampler metropolis-hastings probability sampling statistics

Last synced: 10 Nov 2024

https://github.com/davidnabergoj/nfmc-nf-evaluation

NFMC benchmark and code for the paper: "Nabergoj and Štrumbelj. Empirical evaluation of normalizing flows in Markov Chain Monte Carlo, 2024."

arxiv bayesian-inference benchmark implementation markov-chain-monte-carlo mcmc normalizing-flow paper pytorch reproducibility sampling simulation slurm statistical-analysis variational-inference

Last synced: 27 Dec 2024

https://github.com/elamani-drawing/mcmc-au

Implémentation des méthodes d'une MCMC en python

mcmc python3

Last synced: 11 Nov 2024

https://github.com/armanbilge/apg

ancient population genomics

ancient-dna-sequences bayesian-inference coalescent mcmc population-genetics population-genomics

Last synced: 01 Jan 2025

https://github.com/armanbilge/mcmc

bayesian-inference bayesian-methods mcmc

Last synced: 01 Jan 2025

https://github.com/hrolive/introduction-to-bayesian-statistical-learning

Concepts of Bayesian Statistics, Bayesian inference, computational techniques and knowledge about the different types of models as well as model selection procedures.

bayesian-inference bayesian-optimization bayesian-statistics deep-learning gaussian-processes hpc jupyter-notebook mcmc notebook pymc3 python statistics variational-autoencoder