Description of various Probability density function, mass function, mean, median and mode similarities and distincitons, conditional probabilithy, Correlation and Covariance and many more for practice ...

This Python code visualizes a wave function (Ψ) for a particle and its probability density. The wave function describes the probability of finding the particle at a specific position (x) and time (t).

Kernel density estimation (KDE) is a technique that can help you estimate the probability density function (PDF) of a random variable in machine learning (ML).

Abstract: This paper presents a probability density function formula for predicting the polarization dependent loss (PDL) in an optical transmission system composed of passive devices and connecting ...

However, the literature seems to be rather scarce in terms of computations with the ex-Gaussian function in Python. The package presented here is called ExGUtils (from ex-Gaussian Utilities), it ...