Nonlinear mixture models : a bayesian approach /

This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithm...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tatarinova, Tatiana V. (Autor), Schumitzky, Alan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, NJ : Imperial College Press, [2015]
Temas:
Markov processes.
Bayesian statistical decision theory.
Nonparametric statistics.
Multivariate analysis.
Markov Chains
Statistics, Nonparametric
Multivariate Analysis
Processus de Markov.
Théorie de la décision bayésienne.
Statistique non paramétrique.
Analyse multivariée.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
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