• Publications
  • Influence
Mixed Membership Stochastic Blockmodels
TLDR
We introduce a mixed membership stochastic blockmodel for relational data and develop a general variational inference algorithm for fast approximate posterior inference. Expand
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Testing Statistical Hypotheses
TLDR
This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Expand
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Discrete Multivariate Analysis: Theory and Practice
TLDR
"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
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A Comparison of String Distance Metrics for Name-Matching Tasks
TLDR
Using an open-source, Java toolkit of name-matching methods, we experimentally compare string distance metrics on the task of matching entity names. Expand
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The analysis of cross-classified categorical data
TLDR
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
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A Survey of Statistical Network Models
TLDR
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
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Discrete Multivariate Analysis.
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Mixed-membership models of scientific publications
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
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Adaptive Name Matching in Information Integration
TLDR
Identifying duplicate database records that refer to the same entity is essential for information integration. Expand
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The Comparison and Evaluation of Forecasters.
In this paper we present methods for comparing and evaluating forecasters whose predictions are presented as their subjective probability distributions of various random variables that will beExpand
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