
BUGS
 Referenced in 365 articles
[sw07885]
 statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

spBayes
 Referenced in 340 articles
[sw10160]
 involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific...

MLwiN
 Referenced in 104 articles
[sw04837]
 likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier...

WENO
 Referenced in 54 articles
[sw12694]
 semiconductor devices: Performance and comparisons with Monte Carlo methods. In this paper we develop ... been compared with those by a Monte Carlo simulation and excellent agreements have been found...

HERWIG 5.1
 Referenced in 48 articles
[sw02160]
 HERWIG 5.1  a Monte Carlo event generator for simulating hadron emission reactions with interfering gluons ... some important subasymptotic contributions. Solution method: Monte Carlo simulation of a variety of primary collision...

AKMCS
 Referenced in 60 articles
[sw18303]
 active learning reliability method combining Kriging and Monte Carlo Simulation. An important challenge in structural ... which can be used in active learning methods. The aim of this paper ... propose an iterative approach based on Monte Carlo Simulation and Kriging metamodel to assess ... Active learning reliability method combining Kriging and Monte Carlo Simulation. It is shown...

MONACO
 Referenced in 34 articles
[sw20793]
 optimized implementation of the direct simulation Monte Carlo method. This paper describes a new concept ... implementation of the direct simulation Monte Carlo (DSMC) method. It uses a localized data structure...

dlm
 Referenced in 29 articles
[sw04503]
 univariate and multivariate data. The main methods and models are illustrated with examples based ... models are reminded, and Markov chain Monte Carlo methods are presented. Chapter ... last chapter is on sequential Monte Carlo methods...

MrBayes
 Referenced in 59 articles
[sw07715]
 models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution...

QMC4PDE
 Referenced in 19 articles
[sw33945]
 QMC4PDE: QuasiMonte Carlo methods for elliptic PDEs with random diffusion coefficients. A practical guide ... Accompanying the article “Application of quasiMonte Carlo methods to elliptic PDEs with random diffusion...

GSHMC
 Referenced in 16 articles
[sw02631]
 molecular simulation. The hybrid Monte Carlo (HMC) method is a popular and rigorous method ... Carlo step, the generalized hybrid Monte Carlo (GHMC) method can be implemented with a partial ... Monte Carlo samples is observed. In this paper, we describe a method to achieve very ... proposed generalized shadow hybrid Monte Carlo (GSHMC) method is applicable to NVT as well...

SSS
 Referenced in 32 articles
[sw07794]
 approaches such as Markov chain Monte Carlo (MCMC) methods are often infeasible or ineffective...

STaLiRo
 Referenced in 19 articles
[sw09775]
 based on stochastic optimization techniques including MonteCarlo methods and AntColony Optimization. Among...

geoRglm
 Referenced in 17 articles
[sw06328]
 inference is based on Markov chain Monte Carlo methods. Package geoRglm is an extension...

RANLUX
 Referenced in 56 articles
[sw00778]
 massively parallel Monte Carlo computations) as well as two different methods of restarting from...

dclone
 Referenced in 13 articles
[sw23656]
 Cloning and MCMC Tools for Maximum Likelihood Methods. Low level functions for implementing maximum likelihood ... data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos...

LibBi
 Referenced in 13 articles
[sw19384]
 focus is on sequential Monte Carlo (SMC) methods such as the particle filter for state ... particle Markov chain Monte Carlo (PMCMC) and SMC^2 methods for parameter estimation...

mnormt
 Referenced in 12 articles
[sw04564]
 Probabilities are computed via a nonMonte Carlo method; different routines are used...

PSEUDORAN
 Referenced in 43 articles
[sw11838]
 problem: Any Monte Carlo calculation requiring uniform pseudorandom numbers. Solution method: Three different methods...

StOpt
 Referenced in 9 articles
[sw32903]
 methods are available : dynamic programming methods based on Monte Carlo with regressions (global, local ... Differential Equations (python binding provided). SemiLagrangian methods for Hamilton Jacobi Bellman general equations ... examples provided). Some methods are provided to solve by Monte Carlo some problems where ... stochastic state is controlled. Some pure Monte Carlo Methods are proposed to solve some...