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Let Y be a binary random variable and X a scalar. Let ^ be the
maximum likelihood estimate of the slope in a logistic regression of Y on
X with intercept. Further let x0 and x1 be the average of ...
NONPARAMETRIC BINARY REGRESSION:A BAYESIAN APPROACH
Harvard University and University of California
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
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...