Nonparametric approach estimates posterior probabilities in classification, highlighting a new estimation method.
A nonparametric estimate for the posterior probabilities in the classification problem using multivariate thin plate splines is proposed. This method presents a nonpararnetric alternative to logistic discrimination as well as to survival curve estimation. The degree of smoothness of the estimate is determined from the data using generalized crossvalidation.
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Villalobos et al. (1983) studied this question.
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