Topic: "mcmc-methods"
sandialabs/UQTk
Sandia Uncertainty Quantification Toolkit
Language: Fortran - Size: 48.9 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 77 - Forks: 27

oliviergimenez/Bayesian_Workshop
Material for a Bayesian statistics workshop
Language: R - Size: 28.6 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 7

mspronesti/baylib
High-performance library for approximate inference on discrete Bayesian networks on GPU and CPU
Language: C++ - Size: 1.67 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 1

zang-langyan/Markov-Chain-Monte-Carlo-MCMC
Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)
Language: Python - Size: 27.3 KB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 28 - Forks: 3

mdnunez/pyhddmjags
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.
Language: Python - Size: 627 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 25 - Forks: 9

kiante-fernandez/Rhddmjags
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in R.
Language: R - Size: 627 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 12 - Forks: 0

chenhaotian/Bayesian-Bricks
Basic building blocks in Bayesian statistics.
Language: R - Size: 5.36 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

cdslaborg/paramontex
This is a repository for the ParaMonte library examples. For more information, visit:
Language: Jupyter Notebook - Size: 210 MB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 7

nextBillyonair/DPM
Differentiable Probabilistic Models
Language: Jupyter Notebook - Size: 33.5 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

sandyherho/kaliKupangDisch
This repository contains code, data, output, and figures associated with the A univariate extreme value analysis and change point detection of monthly discharge in Kali Kupang, Central Java, Indonesia manuscript
Language: Python - Size: 14.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

oliviergimenez/nimble-workshop
Material for a workshop on NIMBLE
Language: HTML - Size: 124 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

StefanoV00/Epidemiological_model_2020
Modelled COVID-19 pandemic with a system of 9 first order differential equations. The system was fitted to the values of the pandemic in Italy, UK, India, Brazil and Sweden, and numerically solved using MCMC statistical methods in python’s lmfit module. Estimates of the real number of infected people and predictions for the future were then made.
Language: Python - Size: 1.56 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

sfeilaryan/Ising-Model-MCMC-Algorithms-and-Magnetic-Phase-Change
Using the Ising Model and a Monte-Carlo Markov Chain Approach to Illustrate Magnetic Phase Transition
Language: Jupyter Notebook - Size: 49.7 MB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

DRJP/nimbleAPT
Adaptive paralelle tempering for sampling multi-modal posteriors in NIMBLE.
Language: R - Size: 132 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

charlesknipp/sequential_monte_carlo
This module is an efficient and flexible implementation of various Sequential Monte Carlo (SMC) methods. Bayesian updates occur for both latent states and model parameters using joint inference.
Language: Julia - Size: 10.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

LorenzoStigliano/inverse-problems-mcmc
Final year undergraduate project focusing on inverse problems and Markov chain Monte Carlo methods.
Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

fangyuan-ksgk/Conditional-Particle-Filter
This repository provides a package that allows the implementation of Conditional Particle Filter easily. Conditional Particle Filter can be viewed as an MCMC method with invariant distribution as the smoothing distribution of a partially observed diffusion model.
Language: Jupyter Notebook - Size: 124 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

MauroCE/PersonalWebsite
Personal Website with Blogposts, Achievements and Ideas
Language: HTML - Size: 45.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

niklaslienau/bay_causal_discovery
Monte Carlo Simulation comparing Bayesian and Constraint Based Causal Discovery Algorithms
Language: R - Size: 273 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jaspervrugt/DREAM-Suite
DiffeRential Evolution Adaptive Metropolis algorithm: MATLAB and Python Toolbox
Language: MATLAB - Size: 27.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

FelixNoessler/MCMC
Here, I tried to learn some Markov chain Monte Carlo methods.
Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

1lmao/Computational-Statistics
Random number generation, sampling and subsampling, exploratory data analysis, Markov chain Monte Carlo methods, density estimation and EM algorithm.
Language: MATLAB - Size: 224 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nathdep/SMEP24
Evaluating solutions to the label-switching issue when estimating latent variable models with the NUTS algorithm
Language: R - Size: 404 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Boehringer-Ingelheim/BPrinStratTTE
Causal Effects in Principal Strata Defined by Antidrug Antibodies
Language: R - Size: 90.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DanieleCucurachi/QMCMC
Repostory containing a classical simulator of the first version of the Quantum-enhanced MCMC optimization algorithm.
Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kelseyyll/MarkovChainMonteCarlo
Sample R code from homework problems in STATS 102C at UCLA, Intro to Monte Carlo Methods.
Size: 473 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sirmurphalot/GFI_onManifolds
Code implementations of the methods discussed in Generalized Fiducial Inference on Differentiable Manifolds by A. Murph, J. Hannig, and J. Williams.
Language: MATLAB - Size: 227 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mjcarter95/PyMCMC
A collection of MCMC methods in Python using Numpy and Scipy
Language: Python - Size: 20.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sverdoot/ex2mcmc_new Fork of svsamsonov/ex2mcmc_new
Local-Global MCMC kernels: the best of both worlds (NeurIPS 2022)
Language: Jupyter Notebook - Size: 68.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

dimitramuni/GBN-Regime-in-Basketball
732A64 Master Project
Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Adbhavna1369/PKS1510_modelling
Creating plots illustrating the SED of PKS 1510-089 for the Treball Fin de Master at Universitat Autonoma de Barcelona to complete the master degree in HEP, Astrophysics and Cosmology at IFAE.
Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MokoSan/Bayesian-Inference-in-FSharp
My FSharp Advent 2020 submission related to conducting Bayesian Inference in F#
Language: Jupyter Notebook - Size: 8.76 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

akrm3008/essential-search
Use this to determine the optimal route to go on a search for shortage struck essential commodities (gasoline, water, toilet paper etc.) using information from social media
Language: Python - Size: 34.2 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
