In this paper we focus on a recent proposal for clustering nonlinear time series data in which dissimilarities are computed according to time series forecast distributions. The aim is to evaluate the impact of COVID-19 pandemic on the construction sector for a set of 21 European countries.

Clustering production indexes for construction with forecast distributions

Michele La Rocca
;
Cira Perna;Francesco Giordano
2021-01-01

Abstract

In this paper we focus on a recent proposal for clustering nonlinear time series data in which dissimilarities are computed according to time series forecast distributions. The aim is to evaluate the impact of COVID-19 pandemic on the construction sector for a set of 21 European countries.
2021
978-88-5518-340-6
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4771848
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact