Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference

In ecology, the true causal structure for a given problem is often not known, and several plausible models and thus model predictions exist. It has been claimed that using weighted averages of these models can reduce prediction error, as well as better reflect model selection uncertainty. These clai...

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Veröffentlicht in:Ecological monographs 2018-11, Vol.88 (4), p.485-504
Hauptverfasser: Dormann, Carsten F., Calabrese, Justin M., Guillera-Arroita, Gurutzeta, Matechou, Eleni, Bahn, Volker, Bartoń, Kamil, Beale, Colin M., Ciuti, Simone, Elith, Jane, Gerstner, Katharina, Guelat, Jérôme, Keil, Petr, Lahoz-Monfort, José J., Reineking, Björn, Roberts, David R., Schröder, Boris, Thuiller, Wilfried, Warton, David I., Wintle, Brendan A., Wood, Simon N., Wüest, Rafael O., Hartig, Florian
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Sprache:eng
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