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NONPARAMETRIC BINARY REGRESSION:A BAYESIAN APPROACH
Harvard University and University of California
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2015/7/14
NONPARAMETRIC BINARY REGRESSION:A BAYESIAN APPROACH。
Consistency of Bayes Estimates for Nonparametric Regression: Normal Theory
Consistency Bayes estimates model selection binary regression
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2015/7/14
Performance characteristics of Bayes estimates are studied. More exactly, for each subject in a data
set, let 5 be a vector of binary covariates and let Y be a normal response variable, with
E{YIE...
Nonparametric tests of the Markov hypothesis in continuous-time models
Nonparametric tests Markov hypothesis continuous-time models
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2010/11/18
We propose several statistics to test the Markov hypothesis for $\beta$-mixing stationary processes sampled at discrete time intervals. Our tests are based on the Chapman--Kolmogorov equation. We est...
Nonparametric estimation of genewise variance for microarray data
Nonparametric estimation genewise variance microarray data
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2010/11/17
Estimation of genewise variance arises from two important applications in microarray data analysis: selecting significantly differentially expressed genes and validation tests for normalization of mi...