TY  - BOOK
AU  - Airoldi,Edoardo M.
AU  - Blei,David M.
AU  - Erosheva,Elena A.
AU  - Fienberg,Stephen E.
TI  - Handbook of mixed membership models and their applications
T2  - Chapman & Hall/CRC handbooks of modern statistical methods
SN  - 9781466504080
U1  - 000SA.01 23
PY  - 2015///
CY  - Boca Raton
PB  - CRC Press
KW  - Mathematical statistics.
KW  - Mathematics.
KW  - Probabilities.
N1  - Includes bibliographical references and indexes; Part 1 Mixed Membership: Setting the Stage; 
1 Introduction to Mixed Membership Models and Methods; 
2 A Tale of Two ( Types of) Memberships: Comparing Mixed and Partial Membership with a Continuous Data Example; 
3 Interpreting Mixed Membership Models: Implications of Erosheva's Representation Theorem; 
4 A Simple and General Exponential Family Framework for Partial Membership and Factor Analysis; 
5 Nonparametric Mixed Membership Models 

Part 2 The Grade of Membership Model and Its Extensions
6 A Mixed Membership Approach to the Assessment of Political Ideology from Survey Responses; 
7 Estimating Diagnostic Error without a Gold Standard: A Mixed Membership Approach; 
8 Interpretability Constraints and Trade- offs in Using Mixed Membership Models; 
9 Mixed Membership Trajectory Models; 
10 An Analysis of Development of Dementia through the Extended Trajectory Grade of Membership Model; 

Part 3 Topic Models: Mixed Membership Models for Text 
11 Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference;
12 Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements; 
13 Block- LDA: Jointly Modeling Entity- Annotated Text and Entity- Entity Links; 
14 Robust Estimation of Topic Summaries Leveraging Word Frequency and Exclusivity; 

Part 4 Semi- Supervised Mixed Membership Models; 
15 Mixed Membership Classification for Documents with Hierarchically Structured Labels; 
16 Discriminative Mixed Membership Models; 
17 Mixed Membership Matrix Factorization;
18 Discriminative Training of Mixed Membership Models; 

Part 5 Special Methodology for Sequence and Rank Data; 
19 Population Stratification with Mixed Membership Models; 
20 Mixed Membership Models for Time Series; 
21 Mixed Membership Models for Rank Data: Investigating Structure in Irish Voting Data; 

Part 6 Mixed Membership Models for Networks; 
22 Hierarchical Mixed Membership Stochastic Blockmodels;
23 Analyzing Time- Evolving Networks
24 Mixed Membership Blockmodels for Dynamic Networks with Feedback; 
25 Overlapping Clustering Methods for Networks; 
Subject index--
Author index
N2  - This book shows 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 settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology
ER  -