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Results 1 - 10
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111
On the Disclosure Risk of Two-Dimensional Contingency Tables
"... Two-dimensional contingency tables are common data prod-ucts in many applications such as health care, survey, and student record management. In a two-dimensional contingency table, each cell value reveals an individual’s private information, thus needs to be protected. On the other hand, the aggreg ..."
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Two-dimensional contingency tables are common data prod-ucts in many applications such as health care, survey, and student record management. In a two-dimensional contingency table, each cell value reveals an individual’s private information, thus needs to be protected. On the other hand
The Application of Canonical Correlation to Two-Dimensional Contingency Tables
"... This paper re-introduces and demonstrates the use of Mickey’s (1970) canonical correlation method in analyzing large two-dimensional contingency tables. This method of analysis supplements the traditional analysis using the Pearson chi-square. Examples and a MATLAB source listing are provided. Almos ..."
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This paper re-introduces and demonstrates the use of Mickey’s (1970) canonical correlation method in analyzing large two-dimensional contingency tables. This method of analysis supplements the traditional analysis using the Pearson chi-square. Examples and a MATLAB source listing are provided
Information-Theoretic Co-Clustering
- In KDD
, 2003
"... Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingency table analysis is co-clustering: simultaneous clustering of the rows and columns. A novel theoretical formulation views ..."
Abstract
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Cited by 346 (12 self)
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Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingency table analysis is co-clustering: simultaneous clustering of the rows and columns. A novel theoretical formulation
Model selection and accounting for model uncertainty in graphical models using Occam's window
, 1993
"... We consider the problem of model selection and accounting for model uncertainty in high-dimensional contingency tables, motivated by expert system applications. The approach most used currently is a stepwise strategy guided by tests based on approximate asymptotic P-values leading to the selection o ..."
Abstract
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Cited by 370 (47 self)
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We consider the problem of model selection and accounting for model uncertainty in high-dimensional contingency tables, motivated by expert system applications. The approach most used currently is a stepwise strategy guided by tests based on approximate asymptotic P-values leading to the selection
Title of Dissertation: TWO-DIMENSIONALISM AND THE PROBLEM OF
"... I investigate two intuitions regarding the reference of proper names and natural kind terms that have received significant attention in the philosophy of language, and I discuss the role that they have played in modeling communicative exchanges using the two-dimensional framework in the views defend ..."
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I investigate two intuitions regarding the reference of proper names and natural kind terms that have received significant attention in the philosophy of language, and I discuss the role that they have played in modeling communicative exchanges using the two-dimensional framework in the views
Minimal basis for connected Markov chain over 3 × 3 × K contingency tables with fixed two-dimensional marginals
, 2002
"... We consider connected Markov chain for sampling 3 × 3 × K contingency tables having fixed two-dimensional marginal totals. Such sampling arises inperforming various tests of... ..."
Abstract
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Cited by 49 (14 self)
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We consider connected Markov chain for sampling 3 × 3 × K contingency tables having fixed two-dimensional marginal totals. Such sampling arises inperforming various tests of...
unknown title
"... Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingency table analysis is co-clustering: simultaneous clustering of the rows and columns. A novel theoretical formulation views ..."
Abstract
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Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingency table analysis is co-clustering: simultaneous clustering of the rows and columns. A novel theoretical formulation
SEQUENTIAL IMPORTANCE SAMPLING FOR TWO-DIMENSIONAL ISING MODELS
"... Abstract. In recent years, sequential importance sampling (SIS) has been well developed for sampling contingency tables with linear constraints. In this paper, we apply SIS procedure to 2-dimensional Ising models, which give observations of 0-1 tables and include both linear and quadratic constraint ..."
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Abstract. In recent years, sequential importance sampling (SIS) has been well developed for sampling contingency tables with linear constraints. In this paper, we apply SIS procedure to 2-dimensional Ising models, which give observations of 0-1 tables and include both linear and quadratic
Results 1 - 10
of
111
