@kirk86

Optimal Copula Transport for Clustering Multivariate Time Series

, , and . (2015)cite arxiv:1509.08144Comment: Accepted at ICASSP 2016.

Abstract

This paper presents a new methodology for clustering multivariate time series leveraging optimal transport between copulas. Copulas are used to encode both (i) intra-dependence of a multivariate time series, and (ii) inter-dependence between two time series. Then, optimal copula transport allows us to define two distances between multivariate time series: (i) one for measuring intra-dependence dissimilarity, (ii) another one for measuring inter-dependence dissimilarity based on a new multivariate dependence coefficient which is robust to noise, deterministic, and which can target specified dependencies.

Description

[1509.08144] Optimal Copula Transport for Clustering Multivariate Time Series

Links and resources

Tags

community

  • @kirk86
  • @dblp
@kirk86's tags highlighted