Nature

Kernel Density Estimation and Nonparametric Methods

Kernel density estimation (KDE) and nonparametric methods form a cornerstone of contemporary statistical analysis. Unlike parametric approaches that assume a specific functional form for the ...
Nature

Density Estimation and Adaptive Estimators

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 ...
JSTOR Daily

A Kernel Estimate for the Density of a Biological Population by Using Line Transect Sampling

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 45, No. 2 (1996), pp. 135-150 (16 pages) Motivated by the line transect aerial surveys of Southern Bluefin Tuna in the sea ...
JSTOR Daily

Evaluating wildlife–vehicle collision hotspots using kernel-based estimation: a focus on the endangered Asiatic cheetah in central Iran

Human-Wildlife Interactions, Vol. 10, No. 1 (Spring 2016), pp. 103-109 (7 pages) Abstract: The transportation networks within and adjacent to protected areas degrade natural habitats and contribute to ...