Handbook of Mixed Membership Models and Their Applications PDF ePub eBook

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Handbook of Mixed Membership Models and Their Applications free pdf

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.

About Edoardo M Airoldi

Edoardo M. Airoldi is an associate professor of statistics at Harvard University. Dr. Airoldi's current research focuses on statistical theory and methods for designing and analyzing experiments in the presence of network interference as well as on modeling and inferential issues when dealing with network data. David M. Blei is a professor of statistics and computer science at Columbia University. Dr. Blei's research is in statistical machine learning involving probabilistic topic models, Bayesian nonparametric methods, and approximate posterior inference. Elena A. Erosheva is an associate professor of statistics and social work at the University of Washington, where she is a core member of the Center for Statistics and the Social Sciences. Dr. Erosheva's research focuses on the development and application of modern statistical methods to address important issues in the social, medical, and health sciences. Stephen E. Fienberg is the Maurice Falk University Professor of Statistics and Social Science at Carnegie Mellon University, where he is co-director of the Living Analytics Research Centre and a member of the Department of Statistics, the Machine Learning Department, the Heinz College, and Cylab. Dr. Fienberg's research includes the development of statistical methods for categorical data analysis and network data analysis.

Details Book

Author : Edoardo M Airoldi
Publisher : CRC Press
Data Published : 26 October 2013
ISBN : 1466504080
EAN : 9781466504080
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 500 pages
Age + : 15 years
Language : English
Rating :

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  • Handbook of Mixed Membership Models and Their Applications free pdfHandbook of Mixed Membership Models and Their Applications

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    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 var