Empirical Bayes nonparametric kernel density estimation
Alan Ker () and
Statistics & Probability Letters, 2005, vol. 75, issue 4, 315-324
We propose using empirical Bayes on estimated density values to exploit potential similarities among a set of unknown densities. The strengths are that it allows all types of kernel estimators and does not require specification as to the form of similarity.
Keywords: Shrinkage; estimator; Ensemble; estimator (search for similar items in EconPapers)
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