
MixSAL
 Referenced in 2 articles
[sw35313]
 multivariate SAL distributions using the ExpectationMaximization (EM) algorithm (see Franczak...

MARSS
 Referenced in 2 articles
[sw23275]
 Fitting is primarily via an ExpectationMaximization (EM) algorithm, although fitting via the BFGS algorithm...

PhyME
 Referenced in 9 articles
[sw35645]
 species conservation – into one probabilistic score. The algorithm allows the input orthologous sequences ... tree. It is based on the ExpectationMaximization technique, and scales well with the number ... length of input sequences. We evaluate the algorithm on synthetic data, and also present results...

lclogit
 Referenced in 0 articles
[sw37495]
 class conditional logit models via the expectationmaximization algorithm. In this article, we describe lclogit ... latentclass logit model via the expectationmaximization algorithm...

ARCokrig
 Referenced in 1 article
[sw36335]
 estimated via Monte Carlo expectationmaximization (MCEM) algorithms. In both cases, the priors are chosen...

matrixdist
 Referenced in 1 article
[sw36794]
 simulation and estimation using the expectationmaximization (EM) algorithm are provided. The methods of this...

pyMEF
 Referenced in 2 articles
[sw07455]
 using expectationmaximization or kernel density estimation. In addition to these wellknown algorithms ... estimators. Most of the methods, including expectationmaximization, lead to compact models ... clustering method based on $k$meanslike algorithms. Like all $k$means algorithms, our method...

milr
 Referenced in 0 articles
[sw15884]
 maximum likelihood estimation with the ExpectationMaximization algorithm under the framework of logistic regression. Moreover...

emIRT
 Referenced in 0 articles
[sw16150]
 package emIRT. Various ExpectationMaximization (EM) algorithms are implemented for item response theory (IRT) models...

BANFF
 Referenced in 0 articles
[sw15867]
 based posterior inference and an ExpectationMaximization (EM) based algorithm for posterior approximation...

MLCIRTwithin
 Referenced in 2 articles
[sw15563]
 discreteness of the latent traits. The fitting algorithms allow for missing responses and for different ... parametrizations and are based on the ExpectationMaximization paradigm. Individual covariates affecting the class weights...

PMHT
 Referenced in 5 articles
[sw03183]
 Essentially PMHT is based on expectationmaximization for handling with association conflicts. Linearity ... affords the development of trackbeforedetect algorithms for PMHT. The approach is illustrated...

MOUGH
 Referenced in 2 articles
[sw36675]
 shapebased voting algorithm for pedestrian detection and tracking. This paper presents the MOUGH (mixture ... voting using GMMs and optimized via expectationmaximization that is capable of searching images ... Further modifications are proposed to optimize the algorithm for tracking. The method is able...

sommer
 Referenced in 0 articles
[sw15118]
 Average Information, ExpectationMaximization, NewtonRaphson, or Efficient Mixed Model Association algorithms. Designed for genomic...

hsmm
 Referenced in 16 articles
[sw00419]
 R package hsmm: Hidden Semi Markov Models: This...

Mathematica
 Referenced in 6129 articles
[sw00554]
 Almost any workflow involves computing results, and that...

Matlab
 Referenced in 12721 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...

mclust
 Referenced in 272 articles
[sw00563]
 R package mclust: Normal Mixture Modeling for Model...

R
 Referenced in 8904 articles
[sw00771]
 R is a language and environment for statistical...

AMCMC
 Referenced in 15 articles
[sw01123]
 AMCMC is a package written in R and...