Two-step centered spatio-temporal auto-logistic regression model

Abstract : In our study, we focus on spatio-temporal causal auto-logistic model and proposed a two-step-centered parametrization version of it. We study the existence of the joint law according to the conditional marginals. The simulation study show that the one-step model can not reflect the temporal data structure when both spatial and temporal dependance are strong, while for the two-step model, there is an adequate agreement between the data structure and the temporal large-scale structure. The results of estimation for simulated lattices over years were performed by expectation-maximization (EM) pseudo-likelihood in two stages. They show that under the two-step centered parametrization, the inference for parameters of both temporal and spatial regressions are accurate, while under one-step centered parametrization their inference are always conflicting.
Type de document :
Communication dans un congrès
SADA416, Applied Statistics for Development in Africa, Nov 2016, Cotonou, Benin
Liste complète des métadonnées

https://hal.inria.fr/hal-01394868
Contributeur : Anne Gégout-Petit <>
Soumis le : jeudi 10 novembre 2016 - 09:09:18
Dernière modification le : jeudi 11 janvier 2018 - 06:26:22
Document(s) archivé(s) le : mercredi 15 mars 2017 - 04:06:45

Fichier

SADA_Gegout.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01394868, version 1

Collections

Citation

Anne Gégout-Petit, Shuxian Li. Two-step centered spatio-temporal auto-logistic regression model. SADA416, Applied Statistics for Development in Africa, Nov 2016, Cotonou, Benin. 〈hal-01394868〉

Partager

Métriques

Consultations de la notice

238

Téléchargements de fichiers

120