
SABoost
 Referenced in 6 articles
[sw36832]
 stochastic approximation view of boosting. The boosting as a stochastic approximation algorithm is considered. This ... investigation. Following the results of stochastic approximation theory a stochastic approximation boosting algorithm, SABoost...

CCLS
 Referenced in 20 articles
[sw36049]
 large, which calls for efficient approximate methods, mainly stochastic local search (SLS) ones. However...

PySP
 Referenced in 21 articles
[sw04921]
 standard deterministic solver. For more complex stochastic programs, we provide an implementation of Rockafellar ... effective heuristic for obtaining approximate solutions to multistage stochastic programs. By leveraging the combination...

MLMSRBF
 Referenced in 43 articles
[sw07571]
 proposed Stochastic Response Surface (SRS) Method iteratively utilizes a response surface model to approximate...

gk
 Referenced in 5 articles
[sw20526]
 distributed data, including the finite difference stochastic approximation method, which has not been used before...

epiABC
 Referenced in 10 articles
[sw23334]
 introduction to Bayesian inference for stochastic epidemic models using approximate Bayesian computation. Likelihoodbased inference ... incomplete. In this paper we review recent Approximate Bayesian Computation (ABC) methods for the analysis ... such data by fitting to them stochastic epidemic models without having to calculate the likelihood...

saemix
 Referenced in 2 articles
[sw08851]
 saemix: Stochastic Approximation Expectation Maximization (SAEM) algorithm. The SAEMIX package implements the Stochastic Approximation ... model (linearisation, quadrature approximation,...), using the Stochastic Approximation Expectation Maximization (SAEM) algorithm,  provides standard errors...

ALEA
 Referenced in 55 articles
[sw10167]
 framework for spectral methods and lowrank approximations in uncertainty quantification. ALEA is intended ... lies on: generalised polynomial chaos (gpc) methods; stochastic Galerkin FEM; adaptive numerical methods; tensor methods...

Church
 Referenced in 51 articles
[sw08946]
 also includes a novel language construct, the stochastic memoizer, which enables simple description of many ... query on any Church program, exactly and approximately, using Monte Carlo techniques...

Pi4U
 Referenced in 9 articles
[sw18320]
 framework incorporates Laplace asymptotic approximations as well as stochastic algorithms, along with distributed numerical differentiation ... optimization tasks associated with the asymptotic approximations are treated via the Covariance Matrix Adaptation Evolution...

CMAES
 Referenced in 120 articles
[sw05063]
 generated by variation, usually in a stochastic way, and then some individuals are selected ... underlying objective function similar to the approximation of the inverse Hessian matrix in the Quasi...

SReachTools
 Referenced in 6 articles
[sw30627]
 likelihood that the state of a stochastic system will remain within a collection of time ... efficiently compute over and underapproximations of the stochastic reach set. SReachTools can be used...

misaem
 Referenced in 2 articles
[sw32291]
 perform model selection, using algorithm Stochastic Approximation...

MsdeParEst
 Referenced in 22 articles
[sw25419]
 Effects Stochastic Differential Equations. Parametric estimation in stochastic differential equations with random effects ... drift, or in the diffusion or both. Approximate maximum likelihood methods are used. M. Delattre...

HSIM
 Referenced in 2 articles
[sw18272]
 Entitycentered (multiagents) systems. The stochastic simulation algorithm and its enhanced versions are adapted ... propose a new optimised algorithm for approximate stochastic simulation...

qrNLMM
 Referenced in 2 articles
[sw15130]
 Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving...

abcsde
 Referenced in 3 articles
[sw24744]
 MATLAB toolbox for Approximate Bayesian Computation (ABC) in stochastic ... differential equation models. It performs approximate Bayesian computation for stochastic models having latent dynamics defined...

spFSR
 Referenced in 1 article
[sw32020]
 Selection and Ranking by Simultaneous Perturbation Stochastic Approximation. An implementation of feature selection and ranking ... simultaneous perturbation stochastic approximation (SPSAFSR) based on works by V. Aksakalli and M. Malekipirbazari...

GillespieSSA
 Referenced in 10 articles
[sw21016]
 Gillespie’s exact stochastic simulation algorithm (Direct method) and several approximate methods (Explicit tauleap...

BayesNSGP
 Referenced in 3 articles
[sw30769]
 using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes...