2024
DOI: 10.1002/env.2853
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A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities

Serena Arima,
Crescenza Calculli,
Alessio Pollice

Abstract: We propose a Poisson model for zero‐inflated spatial counts contaminated by measurement error: we accommodate the excess of zeroes in the counts, consider the possible under/over reporting of the response and account for the neighboring structure of spatial areal units. Bayesian inferences are provided by MCMC implementation through the R package NIMBLE. To evaluate the model performance, a simulation study is carried out under configurations that allow for structured and unstructured spatial random effects. T… Show more

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