Article ID Journal Published Year Pages File Type
5129772 Statistics & Probability Letters 2017 5 Pages PDF
Abstract

We study point separation for the logistic regression model for Hilbert space-valued variables. We prove that the separating hyperplane can be found from a finite set of candidates and give an upper bound for the probability of point separation.

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Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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Point separation in logistic regression on Hilbert space-valued variables
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