
ggdmc
 Referenced in 2 articles
[sw30004]
 time models, using the populationbased Markov Chain Monte Carlo...

BAPS 2
 Referenced in 7 articles
[sw35649]
 genetic population structure. We have previously developed a Markov chain Monte Carlo (MCMC) algorithm...

GEMMA
 Referenced in 5 articles
[sw23999]
 with multiple phenotypes simultaneously while controlling for population stratification, and for estimating genetic correlations among ... linear mixed model (BSLMM) using Markov chain Monte Carlo (MCMC) for estimating PVE by typed ... jointly modeling all markers while controlling for population structure. It estimates variance component/chip heritability...

phylodyn
 Referenced in 3 articles
[sw19813]
 effective population size fluctuations over time. Our implementation includes several Markov chain Monte Carlobased ... ancestral relationships of individuals sampled from a population of interest. Here, individuals are assumed ... effective population size trajectory. We assume the coalescent and the sequentially Markov coalescent processes...

PSMIX
 Referenced in 5 articles
[sw13670]
 studies. Bayesian methods have been proposed for population stratification and admixture inference using multilocus genotypes ... into convergence problem in Markov Chain Monte Carlo based posterior samplings. Results: We have developed ... using expectationmaximization algorithm, for inference of population stratification and individual admixture. Conclusion: Compared with...

FRANz
 Referenced in 9 articles
[sw35294]
 software package for pedigree reconstruction in natural populations using codominant genomic markers such ... Statistical confidence is estimated by Markov Chain Monte Carlo (MCMC) sampling. The accuracy...

PAIsing
 Referenced in 1 article
[sw28327]
 annealing algorithm. Population annealing is a promising recent approach for Monte Carlo simulations in statistical ... through Markov chains with elements of sequential Monte Carlo in the form of population control...

CosmoPMC
 Referenced in 1 article
[sw24738]
 adaptive importance sampling method called Population Monte Carlo (PMC). Various cosmology likelihood modules are implemented ... programs, and in addition a MonteCarlo Markov chain (MCMC) algorithm. The sampling engine...

BayClone2
 Referenced in 1 article
[sw31387]
 subclonal variant alleles ((oldsymbol{Z})), and the population frequencies of the subclones ((oldsymbol ... multiple tumor samples. Computation via Markov chain Monte Carlo yields posterior Monte Carlo samples...

PKBUGS
 Referenced in 1 article
[sw21102]
 userfriendly interface for specifying complex population pharmacokinetic/pharmacodynamic (PK/PD) models within the widelyused WinBUGS ... used to analyse, using Markov chain Monte Carlo (MCMC) techniques, arbitrarily complex Bayesian full probability ... this method is unlikely to be optimal. Population PK/PD is such a class. Indeed, although...

BaySICS
 Referenced in 1 article
[sw32670]
 sequence data. It estimates historical demographic population parameters and performs hypothesis testing by means ... interface and the implementation of Markovchain Monte Carlo without likelihoods...

deBInfer
 Referenced in 3 articles
[sw14911]
 their prior distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs to estimate ... ordinary and delay DE models for population ecology...

ctime
 Referenced in 1 article
[sw28190]
 Continuoustime capturerecapture in closed populations. The standard approach to fitting capturerecapture data ... factored so that efficient Markov chain Monte Carlo algorithms can be implemented for Bayesian estimation...

GerryChain
 Referenced in 1 article
[sw35963]
 ensembles of districting plans using Markov chain Monte Carlo. It is developed and maintained ... according to traditional districting principles, such as population balance or compactness. Comparing the initial plan...

TBAPS
 Referenced in 1 article
[sw00951]
 enable the characterization of the microbial population. However, such data have so far been primarily ... model we use a recent Markov chain Monte Carlo (MCMC) based method for the Bayesian...

ATLAS
 Referenced in 199 articles
[sw00056]
 This paper describes the Automatically Tuned Linear Algebra...

GAP
 Referenced in 3164 articles
[sw00320]
 GAP is a system for computational discrete algebra...

GAUSS
 Referenced in 119 articles
[sw00322]
 The GAUSS Mathematical and Statistical System is a...

LAPACK
 Referenced in 1701 articles
[sw00503]
 LAPACK is written in Fortran 90 and provides...

Macaulay2
 Referenced in 1921 articles
[sw00537]
 Macaulay2 is a software system devoted to supporting...