Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, ... How to Calculate It and Interpret the Result.

Application: Probability density functions are often used to understand the distribution and variability of a variable, while CDFs are used to calculate probabilities of specific ranges or compare ...

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 ...

Summary: 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 ...