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Mixed Membership Stochastic Blockmodels
We introduce a mixed membership stochastic blockmodel for relational data and develop a general variational inference algorithm for fast approximate posterior inference. Expand
Testing Statistical Hypotheses
This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Expand
Discrete Multivariate Analysis: Theory and Practice
"At last, after a decade of mounting interest in log-linear and related models for the analysis of discrete multivariate data, particularly in the form of multidimensional tables, we now have a comprehensive text and general reference on the subject. Expand
A Comparison of String Distance Metrics for Name-Matching Tasks
Using an open-source, Java toolkit of name-matching methods, we experimentally compare string distance metrics on the task of matching entity names. Expand
The analysis of cross-classified categorical data
- S. Fienberg
- Computer Science, Psychology
- 1 April 1980
The second edition has been updated and revised, with more emphasis on logic and logistic response properties and on the small-sample behavior of chi-square statistics. Expand
A Survey of Statistical Network Models
- A. Goldenberg, A. Zheng, S. Fienberg, E. Airoldi
- Computer Science, Mathematics
- Found. Trends Mach. Learn.
- 29 December 2009
We begin with an overview of the historical development of statistical network modeling and introduce a number of examples that have been studied in the network literature. Expand
Discrete Multivariate Analysis.
Mixed-membership models of scientific publications
- E. Erosheva, S. Fienberg, J. Lafferty
- Proceedings of the National Academy of Sciences…
- 6 April 2004
PNAS is one of world's most cited multidisciplinary scientific journals. The PNAS official classification structure of subjects is reflected in topic labels submitted by the authors of articles,… Expand
Adaptive Name Matching in Information Integration
- M. Bilenko, R. Mooney, William W. Cohen, Pradeep Ravikumar, S. Fienberg
- Computer Science
- IEEE Intell. Syst.
- 1 September 2003
Identifying duplicate database records that refer to the same entity is essential for information integration. Expand