A C++ library of Markov Chain Monte Carlo (MCMC) methods
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Updated
Feb 8, 2024 - C++
A C++ library of Markov Chain Monte Carlo (MCMC) methods
The base NIMBLE package for R
library of C++ functions that support applications of Stan in Pharmacometrics
Automatic forecasting and Bayesian modeling for time series with Stan
MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.
High-performance library for approximate inference on discrete Bayesian networks on GPU and CPU
Single-cell copy number calling and event history reconstruction.
dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
A streaming cross-cat inference engine
MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.
MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
Meshed GP for Bayesian spatial big data regression
The MCMC hammer algorithm using C++
MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
Trans-dimensional Bayesian joint inversion of magnetotelluric and geomagnetic depth sounding responses to constrain mantle electrical discontinuities
Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)
Bayesian Macroeconometrics C++ Library
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