Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models
CalculateProposalLambda
CalculateProposalPsy
EvaluateProposalLambda
generatePriorLambda
generatePriorPsi
PriorThetaY list
An S4 class to represent a Hyper parameter.
bpgmm Model-Based Clustering Using Baysian PGMM Carries out model-base...
stayMCMCupdate
summerizePgmmRJMCMC
ThetaYList-class
Title
Model-based clustering using Bayesian parsimonious Gaussian mixture models. MCMC (Markov chain Monte Carlo) are used for parameter estimation. The RJMCMC (Reversible-jump Markov chain Monte Carlo) is used for model selection. GREEN et al. (1995) <doi:10.1093/biomet/82.4.711>.