A Hidden Markov Random Field with Copula-Based Emission Distributions for the Analysis of Spatial Cylindrical Data

Francesco Lagona ()
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Francesco Lagona: University of Roma Tre

A chapter in Quantitative Methods in Environmental and Climate Research, 2018, pp 121-136 from Springer

Abstract: 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.

Keywords: Cylindrical data; Copulas; Hidden Markov random fields; Marine currents (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-01584-8_7

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DOI: 10.1007/978-3-030-01584-8_7

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