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 ...

The probability density function (PDF) is an expression used in statistics that defines the probability that some outcome will occur. In this function, the probability is the percentage of a ...

Distributions can be categorized as either discrete or continuous, and by whether it is a probability density function (PDF) or a cumulative distribution. The probability distribution is a type of ...

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 ...

a parameter-free method is proposed to determine the probability density function of multi-dimensional data sources. A neural network is used to approximate the empirical cumulative distribution ...

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 ...

Building on the widely-used double-lognormal approach by Bahra (1997), this paper presents a multi-lognormal approach with restrictions to extract risk-neutral probability density functions (RNPs) for ...

This paper develops a new scheme for improving an approximation method of a probability density function, which is inspired by the idea in the Hilbert space projection theorem. Moreover, we apply ...