A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable taking on a specific value.

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 simple transformations ...

D. O. Loftsgaarden, C. P. Quesenberry, A Nonparametric Estimate of a Multivariate Density Function, The Annals of Mathematical Statistics, Vol. 36, No. 3 (Jun., 1965 ...

Nonparametric method for multivariate density estimation using neural networks In this paper, a parameter-free method is proposed to determine the probability density function of multi-dimensional ...

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 29, No. 3/4 (Dec., 1967), pp. 235-248 (14 pages) The paper presents a concise discussion of some probability density functions ...

In this paper, we propose a functional linear regression model in the space of probability density functions. We treat a cross-sectional distribution of individual earnings as an infinite dimensional ...

A New Framework to Estimate the Risk-Neutral Probability Density Functions Embedded in Options Prices Author/Editor: Kevin C Cheng Publication Date: August 1, 2010 Electronic Access: Free Download.