A continuous time-and-state epidemic model fitted to ordinal categorical data observed on a lattice at discrete times

Rémi Crété; Besnik Pumo; Samuel Soubeyrand; Valerie Caffier; Frederique Didelot

doi:10.1007/s13253-013-0138-x

Journal articles

A continuous time-and-state epidemic model fitted to ordinal categorical data observed on a lattice at discrete times

Rémi Crété ^{1, 2, *} Besnik Pumo ³ Samuel Soubeyrand ⁴ Valerie Caffier ⁵ Frederique Didelot ⁵

* Corresponding author

1 LAREMA - Laboratoire Angevin de Recherche en Mathématiques

2 AGROCAMPUS OUEST

3 Statistics, Statistical and Compter Science Department

4 BioSP - Biostatistique et Processus Spatiaux

5 IRHS - Institut de Recherche en Horticulture et Semences

Abstract : We consider a spatio-temporal model to describe the spread of apple scab within an orchard composed of several plots. The model is defined on a regular lattice and evolves in continuous time. Based on ordinal categorical data observed only at some discrete instants, we adopt a continuous-time approach and apply a Bayesian framework for estimating unknown parameters.

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Journal articles

Domain :

Statistics [stat] / Computation [stat.CO]

Statistics [stat] / Methodology [stat.ME]

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