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Finite mixture models: McLachlan/finite mixture models
2000An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech ...
McLachlan, Geoffrey, Peel, David
openaire +3 more sources
Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus
Structural Equation Modeling, 2014Bengt O. Muthén, Tihomir Asparouhov
exaly
Negative Binomial Process Count and Mixture Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015Lawrence Carin, Mingyuan Zhou
exaly
Quantifying Hydrological Modeling Errors Through a Mixture of Normal Distributions
Journal of Hydrology, 2007Bettina Schaefli
exaly
Psychophysical Models for Mixtures of Tastants and Mixtures of Odorants
Annals of the New York Academy of Sciences, 1987openaire +3 more sources
A Systematic Review of Latent Variable Mixture Modeling Research in Social Work Journals
Journal of Evidence-based Social Work, 2019Michael Killian +2 more
exaly

