Gaussian process framework for temporal dependence and discrepancy functions in Ricker-type population growth models

DOI10.1214/17-AOAS1029zbMath1380.62251OpenAlexW2763010413WikidataQ125346778 ScholiaQ125346778MaRDI QIDQ1684224

Marcelo Hartmann, Richard M. Hillary, Geoffrey R. Hosack, Jarno P Vanhatalo

Publication date: 8 December 2017

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

Full work available at URL: https://doi.org/10.1214/17-aoas1029

zbMATH Keywords

Gaussian processmarginal likelihoodpopulation growthfisheriesdensity dependencetemporal dependencemodel evidenceinterspecific dependenceRicker-type population growth

Mathematics Subject Classification ID

Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10) Population dynamics (general) (92D25)

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