Dynamic generalised additive models (DGAMs) for forecasting discrete ecological time series

Dynamic generalised additive models (DGAMs) for forecasting discrete ecological time series

Abstract Generalised additive models (GAMs) are increasingly popular tools for estimating smooth nonlinear relationships between predictors and response variables. GAMs are particularly relevant in ecology for representing hierarchical functions for discrete responses that encompass complex features...

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Bibliographic Details
Main Authors: Nicholas J. Clark, Konstans Wells
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Methods in Ecology and Evolution
Subjects:
dynamic factor model
ecological forecasting
generalised additive model
hierarchical model
JAGS
R package
Online Access:https://doi.org/10.1111/2041-210X.13974

Internet

https://doi.org/10.1111/2041-210X.13974

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