"In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application setti ..."
"A Survey of Statistical Network Models aims to provide the reader with an entry point to the voluminous literature on statistical network modeling. It guides the reader through the development of key stochastic network models, touches upon a number of examples and commonalities across different parts of the network literature, and discusses major schools of thought in static and dynamic network modeling. Networks have found a prominent ..."
"In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application setti ..."
"In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application setti ..."
"This volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of the same title. Network models have a long history. Sociologists and statisticians made major advances in the 1970s and 1980s, culminating in part with a number of substantial databases and the class of exponential random graph models and related methods in the early 1990s. Physicists and computer scientists came to ..."
"ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June
29, 2006, Revised Selected Papers Edoardo M. Airoldi, David M. Blei, Stephen E.
Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng ... Sajid M. Siddiqi, and
Geoffrey J. Gordon Discovering Functional Communities in Dynamical Networks .
......... 140 Cosma Rohilla Shalizi, Marcelo F. Camperi, and Kristina Lisa Klinkner
Empirical Analysis of a Dynamic So ..."