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 ...

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 ...

Likelihood cross-validation for kernel density estimation is known to be sensitive to extreme observations and heavy-tailed distributions. We propose a robust likelihood-based cross-validation method ...