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VEGAS
- Referenced in 58 articles
[sw07171]
- algorithm of Lepage is based on importance sampling. It samples points from the probability distribution...
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CosmoMC
- Referenced in 43 articles
[sw16206]
- analysing Monte-Carlo samples and importance sampling (plus a suite of scripts for building grids...
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AIS-BN
- 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, AIS-BN, that shows promising convergence ... based on the theoretical properties of importance sampling in finite-dimensional integrals and the structural ... sampling algorithms, likelihood weighting and self-importance sampling. We used in our tests three large...
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Monte Python
- Referenced in 27 articles
[sw41038]
- through MultiNest), EMCEE (through CosmoHammer) and Importance Sampling...
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EVPI
- Referenced in 20 articles
[sw02644]
- EVPI-based 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...
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loo
- Referenced in 20 articles
[sw19420]
- cross-validation (LOO) using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance...
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Hmisc
- Referenced in 46 articles
[sw04530]
- utility operations, functions for computing sample size and power, importing datasets, imputing missing values, advanced...
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FastGCN
- Referenced in 9 articles
[sw38089]
- Learning with Graph Convolutional Networks via Importance Sampling. The graph convolutional networks (GCN) recently proposed ... this work---FastGCN. Enhanced with importance sampling, FastGCN not only is efficient for training...
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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 Metropolis-Hastings 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 Metropolis-Hastings algorithm using a naive...
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SiZer
- Referenced in 76 articles
[sw34664]
- important question is which observed features are “really there,” as opposed to being spurious sampling...
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LAS
- Referenced in 21 articles
[sw17180]
- data. The search for sample-variable associations is an important problem in the exploratory analysis...
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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...
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CTBN-RLE
- Referenced in 6 articles
[sw12961]
- implements exact inference and Gibbs and importance sampling approximate inference for any type of evidence...
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cosmoabc
- Referenced in 6 articles
[sw20219]
- algorithm, which uses an adaptive importance sampling scheme. The code is very flexible...
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VEGAS+
- Referenced in 5 articles
[sw36233]
- adaptive stratified sampling, to the adaptive importance sampling that is the basis for its widely...
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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...
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networksis
- Referenced in 5 articles
[sw08215]
- graphs with fixed marginals through sequential importance sampling. Tools to simulate bipartite networks/graphs with...
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PLASMA
- Referenced in 5 articles
[sw18420]
- efficient simulation engine and uses importance sampling to reduce the number and length of simulations...
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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 speed-up in terms...
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DECIS
- Referenced in 4 articles
[sw21978]
- Carlo pre-sampling. 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...