Stein's Method for Probability Distributions on $\mathbb{S}^1$
Probability
2021-05-28 v1 Statistics Theory
Statistics Theory
Abstract
In this paper, we propose a modification to the density approach to Stein's method for intervals for the unit circle which is motivated by the differing geometry of to Euclidean space. We provide an upper bound to the Wasserstein metric for circular distributions and exhibit a variety of different bounds between distributions; particularly, between the von-Mises and wrapped normal distributions, and the wrapped normal and wrapped Cauchy distributions.
Cite
@article{arxiv.2105.13199,
title = {Stein's Method for Probability Distributions on $\mathbb{S}^1$},
author = {Alexander Lewis},
journal= {arXiv preprint arXiv:2105.13199},
year = {2021}
}