A Bayesian approach to zero-inflated data in extremes

DOI10.1080/03610926.2019.1594305OpenAlexW2930617569WikidataQ128203834 ScholiaQ128203834MaRDI QIDQ5077487

Fidel Ernesto Castro Morales, Fernando Ferraz do Nascimento, Alexandre Henrique Quadros Gramosa

Publication date: 18 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1594305

zbMATH Keywords

Markov chain Monte Carloextreme value theoryBayesian inferencezero-inflatedprecipitation data

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Time-varying extreme pattern with dynamic models
• The Calculation of Posterior Distributions by Data Augmentation
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Non–zero inflated modified power series distributions
• Bayesian Analysis of Zero-Inflated Distributions

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