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Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Feature Screening Pearson’s Chi-Square Test Screening Consisten- cy Search Engine Marketing
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2016/1/26
Ultrahigh dimensional data with both categorical responses and categorical covari-ates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable s...
Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Feature Screening Pearson’s Chi-Square Test Screening Consisten- cy Search Engine Marketing Text Classification Ultrahigh Dimensional Data
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2016/1/20
Ultrahigh dimensional data with both categorical responses and categorical covari-ates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable s...
Graph-Based Tests for Two-Sample Comparisons of Categorical Data
Two-sample tests categorical data discrete data minimum spanning trees graph-based tests contingency table.
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2012/9/18
We study the problem of two-sample comparisons with categorical data when the contingency table is sparsely populated. Classical methods, such as the Pearson's
Chi-square test and the deviance test, ...
Blackwell Prediction for Categorical Data
Blackwell Categorical Data Prediction
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2011/3/21
We study the problem of sequential prediction of categorical data and discuss a generalisation of Blackwell's algorithm on 0-1 data. The arguments are based on Blackwell's approachability results give...
Bayesian methods for categorical data under informative censoring
Bayesian inference generalized Dirichlet distributions informative censoring multiple hypergeometric functions
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2009/9/22
Bayesian methods are presented for categorical sampling when some
observations are censored (i.e., suer missing distinctions between categories).
Such problems have been researched over the years, a...