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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:
Machine learning
Artificial intelligence
Bayesian probability
Computer science
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