reversible-jump-mcmc

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

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

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

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

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

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

Hierarchical Bayesian approaches for robust inference in ARX models

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

RJMCMC: Genome-Wide Nucleosome Positioning in R

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

A refactoring of David Hastie's AutoMix Reversible Jump MCMC

Universal Programmable Inference in JAX

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

Exact reversible-jump particle filtering and device-resident DSS planning for rotating-shield gamma-source localization research.

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