• MixSAL

  • Referenced in 2 articles [sw35313]
  • multivariate SAL distributions using the Expectation-Maximization (EM) algorithm (see Franczak...
  • MARSS

  • Referenced in 2 articles [sw23275]
  • Fitting is primarily via an Expectation-Maximization (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 Expectation-Maximization 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 expectation-maximization algorithm. In this article, we describe lclogit ... latent-class logit model via the expectation-maximization algorithm...
  • ARCokrig

  • Referenced in 1 article [sw36335]
  • estimated via Monte Carlo expectation-maximization (MCEM) algorithms. In both cases, the priors are chosen...
  • matrixdist

  • Referenced in 1 article [sw36794]
  • simulation and estimation using the expectation-maximization (EM) algorithm are provided. The methods of this...
  • pyMEF

  • Referenced in 2 articles [sw07455]
  • using expectation-maximization or kernel density estimation. In addition to these well-known algorithms ... estimators. Most of the methods, including expectation-maximization, lead to compact models ... clustering method based on $k$-means-like algorithms. Like all $k$-means algorithms, our method...
  • milr

  • Referenced in 0 articles [sw15884]
  • maximum likelihood estimation with the Expectation-Maximization algorithm under the framework of logistic regression. Moreover...
  • emIRT

  • Referenced in 0 articles [sw16150]
  • package emIRT. Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models...
  • BANFF

  • Referenced in 0 articles [sw15867]
  • based posterior inference and an Expectation-Maximization (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 Expectation-Maximization paradigm. Individual covariates affecting the class weights...
  • PMHT

  • Referenced in 5 articles [sw03183]
  • Essentially PMHT is based on expectation-maximization for handling with association conflicts. Linearity ... affords the development of track-before-detect algorithms for PMHT. The approach is illustrated...
  • MOUGH

  • Referenced in 2 articles [sw36675]
  • shape-based voting algorithm for pedestrian detection and tracking. This paper presents the MOUGH (mixture ... voting using GMMs and optimized via expectation-maximization 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, Expectation-Maximization, Newton-Raphson, 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 high-level 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...