The Institute of Statistical Science conducts fundamental and applied research related to statistics and probability. The Institute respects independent research of individual principal investigators, ...

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 ...

Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric ...

A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

In this paper, in the light of the widely used Bayesian inference, we present a different interpretation of the BPF by expressing it as an approximation of posterior probability density functions, ...

Hello, I am trying to generate Probability Density Functions (PDF) for local seismic stations. I am a little confused about that. I have read that Obspy can generate Probabilistic Power Spectral De ...

Representation: Typically represented using a joint probability density function (pdf), which describes the likelihood of the random variables falling within a particular range of values.