Modeling with Stable Distributions

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Stable distributions have been proposed as a model for many types of physical and economic systems. There are several reasons for using a stable distribution to describe a system. The first is where there are solid theoretical reasons for expecting a non-Gaussian stable model, e.g. reflection off a rotating mirror yielding a Cauchy distribution, hitting times for a Brownian motion yielding a Lévy distribution, the gravitational field of stars yielding the Holtsmark distribution; see below for these and other examples.

Cite

CITATION STYLE

APA

Nolan, J. P. (2020). Modeling with Stable Distributions. In Springer Series in Operations Research and Financial Engineering (pp. 25–52). Springer Nature. https://doi.org/10.1007/978-3-030-52915-4_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free