| Title: |
An approach to cluster time series extremes with spatial constraints |
| Authors: |
Alessia Benevento; Fabrizio Durante; Roberta Pappada' |
| Contributors: |
Francesco Maria Chelli, Mariateresa Ciommi, Salvatore Ingrassia, Francesca Mariani, Maria Cristina Recchioni; Benevento, Alessia; Durante, Fabrizio; Pappada', Roberta |
| Publisher Information: |
Pearson |
| Publication Year: |
2023 |
| Collection: |
Università degli studi di Trieste: ArTS (Archivio della ricerca di Trieste) |
| Subject Terms: |
Copula; Hierarchical clustering; Tail Dependence |
| Description: |
We introduce a clustering method for time series based on tail dependence. Such a method considers spatial constraints by means of a suitable dissimilarity index that merges temporal and spatial dependence via extreme-value copulas. The proposed approach is applied to the study of rainfall extremes. |
| Document Type: |
conference object |
| File Description: |
ELETTRONICO |
| Language: |
English |
| Relation: |
ispartofbook:SEAS IN. Book of the Short Papers; SEAS IN 2023 - Statistical Learning, Sustainability and Impact Evaluation; firstpage:679; lastpage:684; numberofpages:6; https://hdl.handle.net/11368/3046418 |
| Availability: |
https://hdl.handle.net/11368/3046418 |
| Rights: |
info:eu-repo/semantics/closedAccess ; license:Digital Rights Management non definito ; license uri:iris.PRI00 |
| Accession Number: |
edsbas.BF7AB839 |
| Database: |
BASE |