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Model averaging in ecology: a review of Bayesian, information-theoretic and tactical approaches
Model averaging in ecology: a review of Bayesian, information-theoretic and tactical approaches
2018
Carsten F. Dormann
Justin M. Calabrese
Gurutzeta Guillera-Arroita
Eleni Matechou
Volker Bahn
Kamil A. Bartoń
Colin M. Beale
Simone Ciuti
Jane Elith
Katharina Gerstner
Jérôme Guélat
Petr Keil
José J. Lahoz-Monfort
Laura J. Pollock
Björn Reineking
David R. Roberts
Boris Schröder
Wilfried Thuiller
David I. Warton
Brendan A. Wintle
Simon N. Wood
Rafael O. Wüest
Florian Hartig
Keywords:
Artificial intelligence
Machine learning
Bayesian probability
Computer science
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