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NONPARAMETRIC BINARY REGRESSION:A BAYESIAN APPROACH
Harvard University and University of California
2015/7/14
NONPARAMETRIC BINARY REGRESSION:A BAYESIAN APPROACH。
NONPARAMETRIC BINARY REGRESSION WITH RANDOM COVRIATES
Parameters random COVRIATES binary regression
2015/7/14
NONPARAMETRIC BINARY REGRESSION WITH RANDOM COVRIATES。
P. Nonparametric binary regression with random covariates
P. Nonparametric binary regression random covariates
2009/9/22
The performance of Bayes' estimates is studied under an
assumption of conditional exchangeability. More exactly, for each
subject in a data set, let < be a vector of binary covariates and kt q be
a...
Variable importance in binary regression trees and forests
CART random forests maximal subtree
2009/9/16
We characterize and study variable importance (VIMP) and pairwise variable associations in binary regression trees. A key component involves the node mean squared error for a quantity we refer to as a...
Posterior consistency of Gaussian process prior for nonparametric binary regression
Binary regression Gaussian process Karhunen–Loeve expansion maximal inequality posterior consistency
2010/4/26
Consider binary observations whose response probability is an
unknown smooth function of a set of covariates. Suppose that a prior
on the response probability function is induced by a Gaussian proce...