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Nonlinear Mixture Models

Autor Tatiana Tatarinova, Alan Schumitzky
en Limba Engleză Hardback – 23 feb 2015
Provides an introduction to the important subject of nonlinear mixture models from a Bayesian perspective. This title contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications.
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Specificații

ISBN-13: 9781848167568
ISBN-10: 1848167563
Pagini: 296
Ilustrații: illustrations
Dimensiuni: 153 x 238 x 19 mm
Greutate: 0.6 kg
Editura: Imperial College Press

Cuprins

Introduction; Mathematical Description of Nonlinear Mixture Models; Label Switching and Trapping; Treatment of Mixture Models with an Unknown Number of Components; Applications of BDMCMC, KLMCMC; Bayesian Clustering Methods.