Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

This is a preview. Log in through your library . Abstract The maximal variance of Lipschitz functions (with respect to the ℓ 1-distance) of independent random vectors is found. This is then used to ...

This is a preview. Log in through your library . Abstract Let x1, ⋯, xn be independent observations on a p-dimensional random variable X = (X1, ⋯, Xp) with absolutely continuous distribution function ...

Figure 1: Example relationships between the survival index and adult abundance. Figure 3 shows the heteroscedastic coefficient estimates combined across populations by species under three different ...