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Bayesian Variable Selection for Zero-inflated Longitudinal Count Data

In this paper, we consider Bayesian variable selection in the special cases of the zero-inflated power series model, viz., zero-inflated Poisson and negative binomial models for zero-inflated longitudinal count data. We propose continuous spike and Dirac spike priors to estimate the regression para...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Nawar Alsalim, Taban Baghfalaki
Format: Artigo
Sprache:Inglês
Veröffentlicht: Instituto Nacional de Estatística | Statistics Portugal 2025-12-01
Schriftenreihe:Revstat Statistical Journal
Schlagworte:
Bayesian variable selection
Continuous spike
Dirac spike
Longitudinal data
Power series family
Random effects models
Online-Zugang:https://revstat.ine.pt/index.php/REVSTAT/article/view/497
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