Structured additive distributional regression for analysing landings per unit effort in fisheries research

DOI10.1016/j.mbs.2016.11.016zbMath1367.92103OpenAlexW2557243109WikidataQ39133302 ScholiaQ39133302MaRDI QIDQ730303

Valeria Mamouridis, Thomas Kneib, Francesc Maynou, Nadja Klein, Carmen Cadarso-Suárez

Publication date: 27 December 2016

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2016.11.016

zbMATH Keywords

mixed modelsMarkov chain Monte Carlo simulationgeneralised additive models for locationlandings per unit effortNorth Atlantic Oscillationnorth-western Mediterraneanred shrimp fisheryscale and shape

Mathematics Subject Classification ID

Population dynamics (general) (92D25) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Uses Software

• BayesX
• SemiPar
• GAMLSS
• gamair

Cites Work

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• Generalized structured additive regression based on Bayesian P-splines
• Geoadditive Models
• Inference in Generalized Additive Mixed Models by Using Smoothing Splines
• Semiparametric Regression
• Mixed-Effects Models in S and S-PLUS
• Bayesian Measures of Model Complexity and Fit
• Probabilistic Forecasts, Calibration and Sharpness
• Generalized Additive Models for Location, Scale and Shape
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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