4.2 Article

Integer-valued transfer function models for counts that show zero inflation

期刊

STATISTICS & PROBABILITY LETTERS
卷 193, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.spl.2022.109701

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Bayesian; Integer-valued time series; Markov chain Monte Carlo method; Generalized Poisson; Negative binomial; Zero counts

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This study proposes integer-valued transfer function models with zero-inflated generalized Poisson and negative binomial distributions to describe overdispersion, a large proportion of zeros, and the influence of exogenous variables. Effective Bayesian estimation and model selection methods are provided for analyzing weekly dengue cases with two meteorological covariates.
This study proposes integer-valued transfer function models with zero-inflated gen-eralized Poisson and negative binomial distributions to help describe overdispersion, a large proportion of zeros, and the influence of exogenous variables. We provide effective Bayesian estimation and model selection for weekly dengue cases with two meteorological covariates. (c) 2022 Elsevier B.V. All rights reserved.

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