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 ...
This is a preview. Log in through your library . Abstract The paper deals with upper and lower bounds for the quality of (probability) density estimation. Connections are established between these ...
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 ...
In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries’ predictive ...
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