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
2018-01-01
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.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.
