A review on minimax rates in change point detection and localisation
Statistics Theory
2020-11-04 v1 Methodology
Statistics Theory
Abstract
This paper reviews recent developments in fundamental limits and optimal algorithms for change point analysis. We focus on minimax optimal rates in change point detection and localisation, in both parametric and nonparametric models. We start with the univariate mean change point analysis problem and review the state-of-the-art results in the literature. We then move on to more complex data types and investigate general principles behind the optimal procedures that lead to minimax rate-optimal results.
Keywords
Cite
@article{arxiv.2011.01857,
title = {A review on minimax rates in change point detection and localisation},
author = {Yi Yu},
journal= {arXiv preprint arXiv:2011.01857},
year = {2020}
}