Handbook of mixed membership models and their applications

 Content: Mixed Membership: Setting the Stage  Introduction to Mixed Membership Models and Methods Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, and Stephen E. Fienberg A Tale of Two (Types of) Memberships Jonathan Gruhl and Elena A. Erosheva Interpreting Mixed Membership April Galyardt Partial Membership and Factor Analysis Zoubin Ghahramani, Shakir Mohamed, and Katherine Heller Nonparametric Mixed Membership Models Daniel Heinz        The Grade of Membership Model and Its Extensions  A Mixed Membership Approach to Political Ideology Justin H. Gross and Daniel Manrique-Vallier Estimating Diagnostic Error without a Gold Standard Elena A. Erosheva and Cyrille Joutard Interpretability of Mixed Membership Models Burton H. Singer and Marcia C. Castro Mixed Membership Trajectory Models Daniel Manrique-Vallier Analysis of Development of Dementia through the Extended TGoM Model Fabrizio Lecci        Topic Models: Mixed Membership Models for Text  Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference John Paisley, David M. Blei, and Michael I. Jordan Care and Feeding of Topic Models Jordan Boyd-Graber, David Mimno, and David Newman Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links Ramnath Balasubramanyan and William W. Cohen Robust Estimation of Topic Summaries Leveraging Word Frequency and Exclusivity Jonathan M. Bischof and Edoardo M. Airoldi        Semi-Supervised Mixed Membership Models  Mixed Membership Classification for Documents with Hierarchically Structured Labels Frank Wood and Adler Perotte Discriminative Mixed Membership Models Hanhuai Shan and Arindam Banerjee Mixed Membership Matrix Factorization Lester Mackey, David Weiss, and Michael I. Jordan Discriminative Training of Mixed Membership Models Jun Zhu and Eric P. Xing        Special Methodology for Sequence and Rank Data  Population Stratification with Mixed Membership Models Suyash Shringarpure and Eric P. Xing Mixed Membership Models for Time Series Emily B. Fox and Michael I. Jordan Mixed Membership Models for Rank Data Isobel Claire Gormley and Thomas Brendan Murphy        Mixed Membership Models for Networks  Hierarchical Mixed Membership Stochastic Blockmodels Tracy M. Sweet, Andrew C. Thomas, and Brian W. Junker Analyzing Time-Evolving Networks Qirong Ho and Eric P. Xing Mixed Membership Blockmodels for Dynamic Networks with Feedback Yoon-Sik Cho, Greg Ver Steeg, and Aram Galstyan Overlapping Clustering Methods for Networks Pierre Latouche, Etienne Birmele, and Christophe Ambroise        Subject Index  Author Index        References appear at the end of each chapter.