Markov zero-inflated Poisson regression models for a time series of counts with excess zeros

DOI10.1080/02664760120047951zbMath0991.62064OpenAlexW2081978207MaRDI QIDQ4540893

Peiming Wang

Publication date: 28 July 2002

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760120047951

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Markov processes: estimation; hidden Markov models (62M05)

Related Items

State-space models for count time series with excess zeros ⋮ Zero-modified count time series with Markovian intensities ⋮ Markov regression models for count time series with excess zeros: a partial likelihood approach ⋮ Modelling and coherent forecasting of zero-inflated count time series ⋮ Copula-based Markov zero-inflated count time series models with application ⋮ Modeling road traffic crashes with zero-inflation and site-specific random effects

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