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, ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 16, No. 4 (Dec., 1988), pp. 399-409 (11 pages) Recursive estimates fn (r)(x) of the rth derivative f(r)(x)(r=0,1) of the ...

We propose a method for reconstructing a probability density function (pdf) from a sample of an n-dimensional probability distribution. The method works by iteratively applying some simple ...

This is a preview. Log in through your library . Abstract We examine large-sample properties of cross-validation for estimating cell probabilities, starting from a completely general measure of loss.

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 ...