
VEGAS
 Referenced in 58 articles
[sw07171]
 algorithm of Lepage is based on importance sampling. It samples points from the probability distribution...

CosmoMC
 Referenced in 43 articles
[sw16206]
 analysing MonteCarlo samples and importance sampling (plus a suite of scripts for building grids...

AISBN
 Referenced in 25 articles
[sw02223]
 adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks Stochastic sampling algorithms, while ... this problem, we propose an adaptive importance sampling algorithm, AISBN, that shows promising convergence ... based on the theoretical properties of importance sampling in finitedimensional integrals and the structural ... sampling algorithms, likelihood weighting and selfimportance sampling. We used in our tests three large...

Monte Python
 Referenced in 27 articles
[sw41038]
 through MultiNest), EMCEE (through CosmoHammer) and Importance Sampling...

EVPI
 Referenced in 20 articles
[sw02644]
 EVPIbased importance sampling solution procedures for multistage stochastic linear programmes on parallel MIMD architectures ... parallel version of a sequential importance sampling solution algorithm based on local expected value...

loo
 Referenced in 20 articles
[sw19420]
 crossvalidation (LOO) using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance...

Hmisc
 Referenced in 46 articles
[sw04530]
 utility operations, functions for computing sample size and power, importing datasets, imputing missing values, advanced...

FastGCN
 Referenced in 9 articles
[sw38089]
 Learning with Graph Convolutional Networks via Importance Sampling. The graph convolutional networks (GCN) recently proposed ... this workFastGCN. Enhanced with importance sampling, FastGCN not only is efficient for training...

AdMit
 Referenced in 8 articles
[sw09498]
 target distribution and to efficiently generate a sample of random draws from it, given only ... density of interest. Then, importance sampling or the independence chain MetropolisHastings algorithm is used ... density, using the fitted mixture as the importance or candidate density. The estimation procedure ... compared to standard cases of importance sampling and the MetropolisHastings algorithm using a naive...

SiZer
 Referenced in 76 articles
[sw34664]
 important question is which observed features are “really there,” as opposed to being spurious sampling...

LAS
 Referenced in 21 articles
[sw17180]
 data. The search for samplevariable associations is an important problem in the exploratory analysis...

MitISEM
 Referenced in 4 articles
[sw23111]
 Mixture of Student t Distributions using Importance Sampling and Expectation Maximization. Flexible multivariate function approximation ... distribution is obtained using Importance Sampling weighted Expectation Maximization algorithm...

CTBNRLE
 Referenced in 6 articles
[sw12961]
 implements exact inference and Gibbs and importance sampling approximate inference for any type of evidence...

cosmoabc
 Referenced in 6 articles
[sw20219]
 algorithm, which uses an adaptive importance sampling scheme. The code is very flexible...

VEGAS+
 Referenced in 5 articles
[sw36233]
 adaptive stratified sampling, to the adaptive importance sampling that is the basis for its widely...

bsa
 Referenced in 5 articles
[sw26370]
 mass around the parametric family. A Gibbs sampling algorithm to estimate the posterior distributions ... parameters of interest is reviewed. An importance sampling scheme enables us to use the output...

networksis
 Referenced in 5 articles
[sw08215]
 graphs with fixed marginals through sequential importance sampling. Tools to simulate bipartite networks/graphs with...

PLASMA
 Referenced in 5 articles
[sw18420]
 efficient simulation engine and uses importance sampling to reduce the number and length of simulations...

EpiStruct
 Referenced in 2 articles
[sw34639]
 code to support the paper: Importance sampling for partially observed temporal epidemic models. We present ... importance sampling algorithm that can produce realisations of Markovian epidemic models that exactly match observations ... over a period of time. The importance sampling can be used to construct an efficient ... particle marginal Metropolis Hastings scheme, the importance sampling provides a large speedup in terms...

DECIS
 Referenced in 4 articles
[sw21978]
 Carlo presampling. When using Monte Carlo sampling the user has the option of employing ... using as variance reduction techniques importance sampling or control variates, based on either an additive...