The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 7, No. 2 (1979), pp. 159-167 (9 pages) Let f be an unknown possibly multimodal density on Rd and let X1,X2,... be a ...
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 ...
This is a preview. Log in through your library . Abstract A kernel density estimator is defined to be admissible if no other kernel estimator has (among all densities ...
The KDE procedure performs either univariate or bivariate kernel density estimation. Statistical density estimation involves approximating a hypothesized probability density function from observed ...
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