mcmc-methods

There are 0 repository under mcmc-methods topic.

sandialabs / UQTk
Sandia Uncertainty Quantification Toolkit
snl-data-analysis bayesian-inference snl-science-libs uq uncertainty-quantification uncertainty-estimation uncertainty-propagation uncertainty mcmc mcmc-sampler mcmc-methods surrogate-models scr-1380
Language:Fortran 71
oliviergimenez / Bayesian_Workshop
Material for a Bayesian statistics workshop
bayesian-inference bayesian-statistics mcmc-methods jags multilevel-models random-effects-model
Language:R 38
mspronesti / baylib
High-performance library for approximate inference on discrete Bayesian networks on GPU and CPU
inference parallel multithreading gpgpu-computing bayesian-inference bayesian-network mcmc mcmc-methods boost cuda
Language:C++ 30
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.
bayesian-inference jags decision-making hddm mcmc-methods
Language:Python 24
zang-langyan / Markov-Chain-Monte-Carlo-MCMC
Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)
julia markov-chain-monte-carlo matlab mcmc-methods mcmc-sampler python r mcmc
Language:Python 24
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.
decision-making bayesian-inference hddm jags mcmc-methods
Language:R 11
chenhaotian / Bayesian-Bricks
Basic building blocks in Bayesian statistics.
rpackage bayesian-network graphical-models bayesian-inference hierarchical-models statistical-models bayesian-statistics mcmc-methods em-algorithm hierarchical-mixture-models hierarchical-topic-models
Language:R 7
cdslaborg / paramontex
This is a repository for the ParaMonte library examples. For more information, visit:
mcmc mcmc-sampler mcmc-methods visualization bayesian-inference bayesian bayesian-statistics bayesian-methods bayesian-optimization dram parallel markov-chain c cpp fortran fortran2018 matlab python machine-learning paramonte-library
Language:Jupyter Notebook 5
nextBillyonair / DPM
Differentiable Probabilistic Models
differentiable-probabilistic-models divergences elbo gans mcmc-methods mixture-models monte-carlo-approximation monte-carlo-sampling
Language:Jupyter Notebook 3
LorenzoStigliano / inverse-problems-mcmc
Final year undergraduate project focusing on inverse problems and Markov chain Monte Carlo methods.
mcmc-methods mcmc-sampling inverse-problems
Language:Jupyter Notebook 2
oliviergimenez / nimble-workshop
Material for a workshop on NIMBLE
mcmc-methods bayesian-inference rstats-package nimble
Language:HTML 2
kaliKupangDisch
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
bayesian-statistics changepoint-detection extreme-value-statistics hydrology indonesia jawa-tengah mcmc-methods
Language:Python 2
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.
epidemiology covid-19 lmfit mcmc-methods coronavirus
Language:Python 2
DRJP / nimbleAPT
Adaptive paralelle tempering for sampling multi-modal posteriors in NIMBLE.
mcmc-sampling mcmc-methods
Language:R 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.
mcmc-methods conditional-particle-filter filtering-problems
Language:Jupyter Notebook 1
mjcarter95 / PyMCMC
A collection of MCMC methods in Python using Numpy and Scipy
bayesian-inference mcmc mcmc-methods numpy scipy
Language:Python 1
GFI_onManifolds
sirmurphalot / GFI_onManifolds
Code implementations of the methods discussed in Generalized Fiducial Inference on Differentiable Manifolds by A. Murph, J. Hannig, and J. Williams.
fiducial-inference mcmc-methods riemannian-geometry riemannian-manifold statistical-learning
Language:MATLAB 1
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.
agnpy fsrq gammapy mcmc-methods
Language:Jupyter Notebook 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
pymc3 bayesian-network mcmc-methods mixed-integer-programming branch-and-bound heuristic-optimization gurobipy
Language:Python 0
aleung12 / manga
Forward kinematic modeling of disk galaxies in MaNGA via parallel-tempered MCMC
mcmc-methods manga disk-galaxies
Language:Python 0
alexandredupuy-zini / MCMC-without-bias
Implementation of a parameter estimation method without bias, applied to the PUMP problem
mcmc-methods bias pump maximal-coupling mcmc-coupling
Language:Jupyter Notebook 0
alexdiazortiz / Bayesian_Modeling_Covid19
A Bayesian approach to the modeling COVID19 spread based on the Gompertz equation applied to the confirmed cases and fatalities by country.
covid19 bayesian-statistics gompertz-equation mcmc-methods r-language
Language:R 0
bgav114 / PropertyPricePredictions
Predicting property prices in Melbourne, using Bayesian MultiRegression and Markov Chain Monte Carlo Simulations.
appliedbayesianstatistics r mcmc-methods bayesian-statistics bayesian-inference bayesian-data-analysis
Language:R 0
Boehringer-Ingelheim / BPrinStratTTE
Causal Effects in Principal Strata Defined by Antidrug Antibodies
principal-stratification r-package bayesian-methods causal-inference estimand clinical-trial simulation mcmc-methods pharmaceutical-development stan time-to-event
Language:R 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.
julia sequential-monte-carlo mcmc-methods
Language:Julia 0
DanieleCucurachi / QMCMC
Repostory containing a classical simulator of the first version of the Quantum-enhanced MCMC optimization algorithm.
mcmc-methods quantum quantum-computing
Language:Jupyter Notebook 0
dimitramuni / GBN-Regime-in-Basketball
732A64 Master Project
bayesian-network regime-transitions mcmc-methods metropolis-hastings-algorithm basketball-stats chicago-bulls gaussian-processes
Language:Jupyter Notebook 0
FelixNoessler / MCMC
Here, I tried to learn some Markov chain Monte Carlo methods.
bayesian-inference mcmc-methods
Language:Julia 0
kelseyyll / MarkovChainMonteCarlo
Sample R code from homework problems in STATS 102C at UCLA, Intro to Monte Carlo Methods.
mcmc-methods statistics
0
MokoSan / Bayesian-Inference-in-FSharp
My FSharp Advent 2020 submission related to conducting Bayesian Inference in F#
bayesianinference fsharp fsharp-advent mcmc-methods probabilistic-programming
Language:Jupyter Notebook 0
SanjifShan / Ising-Model
Ising Model Simulation & lab report with applications to epidemiology. COVID-19 is a case study.
epidemiology mcmc-methods metropolis-hastings covid-19
Language:TeX 0
Soyeon-ErinLee / My-R-Functions
Hand-made R Functions Mainly for Statistical Data Analysis
cholesky-decomposition givens-transformation householder-transformation lu-decompositon modified-gram-schmidt metropolis-hastings-algorithm mcmc qr-decomposition scad kernel-quadratic-regression kernel regression logistic-regression logit poisson-regression pathwise-coordinate-decent lasso mcmc-methods mcmc-sampler monte-carlo-markov
Language:R 0
sverdoot / ex2mcmc_new
Local-Global MCMC kernels: the best of both worlds (NeurIPS 2022)
adaptive-mcmc energy-based-model gan mcmc mcmc-methods normalizing-flow
Language:Jupyter Notebook 0
MauroCE / PersonalWebsite
Personal Website with Blogposts, Achievements and Ideas
mauro mauro-camara mauro-camara-escudero bristol bristol-phd data-science machine-learning artificial-intelligence mcmc mcmc-sampler mcmc-methods expectation-propagation variational-inference genetics genome
Language:HTML

mcmc-methods

sandialabs / UQTk

oliviergimenez / Bayesian_Workshop

mspronesti / baylib

mdnunez / pyhddmjags

zang-langyan / Markov-Chain-Monte-Carlo-MCMC

kiante-fernandez / Rhddmjags

chenhaotian / Bayesian-Bricks

cdslaborg / paramontex

nextBillyonair / DPM

LorenzoStigliano / inverse-problems-mcmc

oliviergimenez / nimble-workshop

sandyherho / kaliKupangDisch

StefanoV00 / Epidemiological_model_2020

DRJP / nimbleAPT

fangyuan-ksgk / Conditional-Particle-Filter

mjcarter95 / PyMCMC

sirmurphalot / GFI_onManifolds

Adbhavna1369 / PKS1510_modelling

akrm3008 / essential-search

aleung12 / manga

alexandredupuy-zini / MCMC-without-bias

alexdiazortiz / Bayesian_Modeling_Covid19

bgav114 / PropertyPricePredictions

Boehringer-Ingelheim / BPrinStratTTE

charlesknipp / sequential_monte_carlo

DanieleCucurachi / QMCMC

dimitramuni / GBN-Regime-in-Basketball

FelixNoessler / MCMC

kelseyyll / MarkovChainMonteCarlo

MokoSan / Bayesian-Inference-in-FSharp

SanjifShan / Ising-Model

Soyeon-ErinLee / My-R-Functions

sverdoot / ex2mcmc_new

MauroCE / PersonalWebsite