Several important multivariate probability inequalities can be formulated in terms of multivariate convolutions of the form ∫ $f_{1}(x)f_{2}(x-\theta )dx$, where ...

This is a preview. Log in through your library . Abstract We study the problem of nonparametric estimation under 𝕃p-loss, p ∈ [1, ∞), in the framework of the convolution structure density model on ℝd ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...