Optimization of mixture models: Comparison of different strategies
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Publication:1775968
DOI10.1007/BF03372103zbMath1068.65020MaRDI QIDQ1775968
Publication date: 20 May 2005
Published in: Computational Statistics (Search for Journal in Brave)
comparison of methodsnumerical examplesgenetic algorithmmixture modelexpectation-maximization algorithmmixture transition distribution modeloptimisation strategies
Related Items (9)
Learning switching dynamic models for objects tracking ⋮ Estimating the parameters of twofold Weibull mixture model in right-censored reliability data by using genetic algorithm ⋮ General framework and model building in the class of hidden mixture transition distribution models ⋮ Multidimensional latent Markov models in a developmental study of inhibitory control and attentional flexibility in early childhood ⋮ On a mixture vector autoregressive model ⋮ Information matrix for hidden Markov models with covariates ⋮ EM for mixtures ⋮ Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates ⋮ Mixture of linear mixed models for clustering gene expression profiles from repeated microarray experiments
Cites Work
- Mixture transition distribution (MTD) modeling of heteroscedastic time series
- Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
- The mixture transition distribution model for high-order Markov chains and non-Gaussian time series
- A classification EM algorithm for clustering and two stochastic versions
- Modeling Flat Stretches, Bursts, and Outliers in Time Series Using Mixture Transition Distribution Models
- On a Mixture Autoregressive Model
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