Extreme value statistics of correlated random variables
Abstract
Extreme value statistics (EVS) concerns the study of the statistics of the maximum or the minimum of a set of random variables. This is an important problem for any time-series and has applications in climate, finance, sports, all the way to physics of disordered systems where one is interested in the statistics of the ground state energy. While the EVS of uncorrelated variables are well understood, little is known for strongly correlated random variables. Only recently this subject has gained much importance both in statistical physics and in probability theory. In this note, we will first review the classical EVS for uncorrelated variables and discuss few examples of correlated variables where analytical progress can be made.
Keywords
Cite
@article{arxiv.1406.6768,
title = {Extreme value statistics of correlated random variables},
author = {Satya N. Majumdar and Arnab Pal},
journal= {arXiv preprint arXiv:1406.6768},
year = {2015}
}
Comments
A pedagogical brief overview based on the lectures given in the GGI workshop ` http://www.ggi.fi.infn.it/index.php?p=workshops.inc&id=118 ', Florence, Italy, 2014