New technologies have made available rich datasets of counts and binary data, focusing attention on time series models for discrete-valued processes. From the recent establishment of their theory, not much has been said about the practical usefulness of these data. Here, to partially address this task, an illustrative example on number of storm detected in the North Atlantic is presented.

Observation-driven models for storm counts / Mirko Armillotta; Alessandra Luati; Monia Lupparelli. - ELETTRONICO. - (2020), pp. 863-868. (Intervento presentato al convegno SIS 2020).

Observation-driven models for storm counts

Monia Lupparelli
2020

Abstract

New technologies have made available rich datasets of counts and binary data, focusing attention on time series models for discrete-valued processes. From the recent establishment of their theory, not much has been said about the practical usefulness of these data. Here, to partially address this task, an illustrative example on number of storm detected in the North Atlantic is presented.
2020
Book of Short Papers, SIS 2020
SIS 2020
Goal 13: Climate action
Mirko Armillotta; Alessandra Luati; Monia Lupparelli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1214481
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