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 ...

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 ...