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Handbook of Mixed Membership Models and Their Applications

Edited by Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg

Chapman and Hall/CRC – 2014 – 618 pages

Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

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    978-1-46-650408-0
    December 2nd 2014
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Description

Unlike classical mixture models that are limited by the assumption that each object or individual belongs to only one mixture component, mixed membership models handle various data structures and multivariate data of mixed types, including longitudinal, sparse, and relational data structures. A compilation of peer-reviewed articles from researchers in genetics and computer science, this volume examines the characteristics of mixed membership distribution. It gives a fresh take on cluster and classical modeling with a focus on posterior membership probabilities.

Name: Handbook of Mixed Membership Models and Their Applications (Hardback)Chapman and Hall/CRC 
Description: Edited by Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg. Unlike classical mixture models that are limited by the assumption that each object or individual belongs to only one mixture component, mixed membership models handle various data structures and multivariate data of mixed types, including longitudinal,...
Categories: Statistical Theory & Methods, Machine Learning, Regression Analysis and Multivariate Statistics