The aim is to present a model for providing a spatial segmentation of circular data according to a finite number of latent classes employing a hidden Markov random field. Under this setting, the data are modelled by a finite mixture of parametric densities, whose parameters vary across space according to a latent Markov random field. As such, it can be viewed as an extension of a mixture model to the spatial setting. Motivated by wildfires data in the Iberian Peninsula, a model based on a mixture of Kato-Jones circular densities is suggested. This model takes into account special features of wildfire occurrence data such as multimodality, skewness and kurtosis. The parameters of the model will vary across space according to a latent Potts model, modulated by geo-referenced covariates.

Hidden Markov random fields for the spatial segmentation of circular data / Ameijeiras-Alonso, Jose; Lagona, Francesco; Ranalli, Monia; Crujeiras, Rosa. - (2018), pp. 114-114. (Intervento presentato al convegno 11th International Conference of the ERCIM tenutosi a Pisa).

Hidden Markov random fields for the spatial segmentation of circular data

Monia Ranalli;
2018

Abstract

The aim is to present a model for providing a spatial segmentation of circular data according to a finite number of latent classes employing a hidden Markov random field. Under this setting, the data are modelled by a finite mixture of parametric densities, whose parameters vary across space according to a latent Markov random field. As such, it can be viewed as an extension of a mixture model to the spatial setting. Motivated by wildfires data in the Iberian Peninsula, a model based on a mixture of Kato-Jones circular densities is suggested. This model takes into account special features of wildfire occurrence data such as multimodality, skewness and kurtosis. The parameters of the model will vary across space according to a latent Potts model, modulated by geo-referenced covariates.
2018
11th International Conference of the ERCIM
04 Pubblicazione in atti di convegno::04d Abstract in atti di convegno
Hidden Markov random fields for the spatial segmentation of circular data / Ameijeiras-Alonso, Jose; Lagona, Francesco; Ranalli, Monia; Crujeiras, Rosa. - (2018), pp. 114-114. (Intervento presentato al convegno 11th International Conference of the ERCIM tenutosi a Pisa).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1348217
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