Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive

DOI10.6092/ISSN.1973-2201/3987zbMath1453.62749OpenAlexW1493312565MaRDI QIDQ5148621

Porzia Maiorano, Crescenza Calculli, Alessio Pollice, Simona Arcuti, Angelo Tursi, Gianfranco D'Onghia

Publication date: 4 February 2021

Full work available at URL: https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff

zbMATH Keywords

zero-inflated datageneralized additive modelsTweedie distributionspatio-temporal modelingdemersal resources abundance

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12)

Related Items (2)

A wavelet-based approach to revealing the Tweedie distribution type in sparse data ⋮ Capturing spatiotemporal dynamics of Alaskan groundfish catch using signed-rank estimation for varying coefficient models

Cites Work

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• Mixed effects models and extensions in ecology with R
• Bayesian semi-parametric ZIP models with space-time interactions: an application to cancer registry data
• Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling

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