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Please use this identifier to cite or link to this item: http://hdl.handle.net/2307/5913

Title: Temporal and spatio-temporal modes for circular and circular-linear data
Authors: Mastrantonio, Gianluca
Keywords: Cicular data
Spatio-temporal process
Hidden Markov model
Issue Date: 8-Apr-2016
Publisher: Universit√† degli studi Roma Tre
Abstract: Circular data arise naturally in many scientific fields, for example oceanography (wave directions), meteorology (wind directions), biology (animal movement). Due to the circular domain, to the sensitivity of descriptive and inferential results to the starting point and orientation on the circle, analysis of circular data is challenging. We propose models for temporal and spatio-temporal circular and circular-linear data. We show that under a Bayesian framework, the complex nature of circul
URI: http://hdl.handle.net/2307/5913
Access Rights: info:eu-repo/semantics/openAccess
Appears in Collections:Dipartimento di Economia
T - Tesi di dottorato

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