reversible-jump-mcmc

There are 14 repositories under reversible-jump-mcmc topic.

  • GeoscienceAustralia/HiQGA.jl

    High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

    Language:Jupyter Notebook394255

  • akuhara/RF_INV

    Receiver function inversion by reversible-jump Markov-chain Monte Carlo

    Language:Fortran253812

  • akuhara/MC3deconv

    Bayeisan inversion to recover Green's functions of receiver-side structures from teleseismic waveforms

    Language:Fortran19327

  • veniarakelian/copula

    [Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis

    Language:Python11102

  • arzwa/Beluga.jl

    Statistical analysis of gene family evolution using phylogenetic birth-death processes and WGD inference using rjMCMC

    Language:Julia9312

  • ElsevierSoftwareX/SOFTX-D-20-00033

    A parallelization of RJMCMC. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000091

    Language:C5101

  • compops/rjmcmc-sysid2012

    Hierarchical Bayesian approaches for robust inference in ARX models

    Language:Matlab4203

  • ArnaudDroitLab/RJMCMC

    RJMCMC: Genome-Wide Nucleosome Positioning in R

    Language:R3542

  • antcc/rk-bfr-jump

    A Bayesian functional regression framework built on RKHS's and reversible jump MCMC.

    Language:Jupyter Notebook2100

  • dstkeehan/microlensing-model-inference

    Code accompanying the paper "Microlensing model inference with normalising flows and reversible jump MCMC"

    Language:Python2100

  • mbrueckner/SplineHazard.jl

    Julia library for Bayesian non- and semi-parametric hazard models using B-splines

    Language:Julia2100

  • quatrope/AutoMix

    A refactoring of David Hastie's AutoMix Reversible Jump MCMC

    Language:Objective-C12340

  • ArnaudDroitLab/RJMCMCNucleosomes

    Bioconductor Package - Genome-Wide Nucleosome Positioning in R with an optimized section in C++

    Language:R5132

  • arzwa/DiscreteMarkovFit.jl

    Estimate ESS and posterior model probabilities by fitting a discrete Markov chain to output from a rjMCMC sampler

    Language:Julia20