A hidden Markov random field is proposed for the analysis of spatial cylindrical series. The model is a mixture of copula-based bivariate densities, whose parameters vary across space according to a latent random field. It is exploited to segment coastal currents data within a finite number of latent classes that represent specific environmental conditions.

Lagona, F. (2018). A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data. In F.F. Michela Cameletti (a cura di), Quantitative Methods in Environmental and Climate Research (pp. 121-136). Springer Nature Switzerland.

A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data

lagona
2018

Abstract

A hidden Markov random field is proposed for the analysis of spatial cylindrical series. The model is a mixture of copula-based bivariate densities, whose parameters vary across space according to a latent random field. It is exploited to segment coastal currents data within a finite number of latent classes that represent specific environmental conditions.
978-3-030-01584-8
Lagona, F. (2018). A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data. In F.F. Michela Cameletti (a cura di), Quantitative Methods in Environmental and Climate Research (pp. 121-136). Springer Nature Switzerland.
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/11590/341350
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact