MapAiryDistribution Double Precision Implement
-
Updated
Jul 11, 2024 - C#
MapAiryDistribution Double Precision Implement
SαS Point5 Distribution Numeric Computation Memo
LandauDistribution Double Precision
Map-Airy Distribution Numeric Computation Memo
HoltsmarkDistribution Double Precision Implement
Holtsmark Distribution Numeric Computation Memo
SaSPoint5Distribution Double Precision Implement
R package for estimation of the four parameters of stable distributions. The package also provides functions to compute characteristic functions and tools to run Monte Carlo simulations.
A method for generating n random values, sampled from a Levy alpha stable distribution. It is useful for Levy adjusted random walks and financial risk modelling.
Landau Distribution Numeric Computation Memo
Double-Double Statistic Implements
Accuracy and performance benchmark of stable ("fat-tailed") distribution libraries in Python.
Alpha stable and sub-Gaussian distributions in Julia
🚀 A library designed to facilitate work with probability, statistics and stochastic calculus
Add a description, image, and links to the stable-distribution topic page so that developers can more easily learn about it.
To associate your repository with the stable-distribution topic, visit your repo's landing page and select "manage topics."