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Kernel Density Estimation and Nonparametric Methods Publication Trend The graph below shows the total number of publications each year in Kernel Density Estimation and Nonparametric Methods.
In this paper, a kernel-type copula density estimator is proposed. It is based on the idea of transforming the uniform marginals of the copula density into normal distributions via the probit function ...
Marcus Groß, Ulrich Rendtel, Timo Schmid, Sebastian Schmon, Nikos Tzavidis, Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to ...
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