Density estimation is a fundamental component in statistical analysis, aiming to infer the probability distribution of a random variable from a finite sample without imposing restrictive parametric ...
In this paper we show how one canimplement in practice the bandwidth selection in deconvolution recursive kernel estimators of a probability density function defined by the stochastic approximation ...
The Annals of Statistics, Vol. 46, No. 5 (October 2018), pp. 2479-2510 (32 pages) This paper investigates a class of goodness-of-fit tests for fitting an error ...
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