
PReMiuM
 Referenced in 8 articles
[sw14746]
 Profile Regression. Bayesian clustering using a Dirichlet process mixture model. This model is an alternative...

dpmixsim
 Referenced in 3 articles
[sw24713]
 package dpmixsim: Dirichlet Process Mixture model simulation for clustering and image segmentation. The package implements ... Dirichlet Process Mixture (DPM) model for clustering and image segmentation. The DPM model...

BNPmix
 Referenced in 2 articles
[sw28208]
 mixture models, and GriffithsMilne Dependent Dirichlet process mixture models. PitmanYor process mixture models ... importance conditional sampler a GMDependent Dirichlet process mixture model...

profdpm
 Referenced in 2 articles
[sw24502]
 Package profdpm: Profile Dirichlet Process Mixtures. This package facilitates profile inference (inference at the posterior ... product partition models (PPM). The Dirichlet process mixture is currently the only available member...

PhyloBayes MPI
 Referenced in 2 articles
[sw23042]
 Modeling across site variation of the substitution process is increasingly recognized as important for obtaining ... infinite mixture models. In particular, a fast but simplified version of a Dirichlet process model ... interface version of PhyloBayes, implementing the Dirichlet process mixture models as well as more classical ... truncated stickbreaking representation for the Dirichlet process prior. The implementation shows close to linear...

pyMEF
 Referenced in 2 articles
[sw07455]
 mixtures by simplifying kernel density estimators Gaussian mixture models are a widespread tool for modeling ... promising stochastic modeling methods include Dirichlet process mixtures and $k$maximum likelihood estimators. Most...

growfunctions
 Referenced in 2 articles
[sw16375]
 field (iGMRF) prior formulations where a Dirichlet process mixture allows subgroupings of the functions...

BNSP
 Referenced in 1 article
[sw24225]
 semiparametric models: 1. Dirichlet process mixtures & 2. spikeslab for variable selection in mean/variance...

DPWeibull
 Referenced in 0 articles
[sw20438]
 package DPWeibull. Use Dirichlet process Weibull mixture model and dependent Dirichlet process Weibull mixture model ... with and without competing risks. Dirichlet process Weibull mixture model is used for data without ... competing risks. Inside each cluster of Dirichlet process, we assume a multiplicative effect of covariates ... dimensional data with Dirichlet mixture of Gaussian distributions...

BNPMIXcluster
 Referenced in 1 article
[sw18028]
 based on a location mixture model with a PoissonDirichlet process prior on the location...

lrgs
 Referenced in 0 articles
[sw16144]
 either a Gaussian mixture of specified size or a Dirichlet process with a Gaussian base...

ANSYS
 Referenced in 643 articles
[sw00044]
 ANSYS offers a comprehensive software suite that spans...

Gmsh
 Referenced in 528 articles
[sw00366]
 Gmsh is a 3D finite element grid generator...

HSL
 Referenced in 265 articles
[sw00418]
 HSL (formerly the Harwell Subroutine Library) is a...

LAPACK
 Referenced in 1586 articles
[sw00503]
 LAPACK is written in Fortran 90 and provides...

Magma
 Referenced in 2718 articles
[sw00540]
 Computer algebra system (CAS). Magma is a large...

Maple
 Referenced in 4919 articles
[sw00545]
 The result of over 30 years of cutting...

Mathematica
 Referenced in 5703 articles
[sw00554]
 Almost any workflow involves computing results, and that...

Matlab
 Referenced in 11496 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...

mclust
 Referenced in 234 articles
[sw00563]
 R package mclust: Normal Mixture Modeling for Model...