Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction

By L. Garamszegi. Behavioral Ecology and Sociobiology, 2010

112 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics

View Paper: https://www.semanticscholar.org/paper/676376b1a52b28a87ec32dea7b2e704cb935784c

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Citations in the corpus

Testing Similarity Effects with Dyadic Response Surface Analysis (2018, methodology): “Other information criteria beyond AIC are also available, such as the Bayesian information criterion (Burnham & Anderson, 2004), or variations of the AIC (e.g. AICc or CAIC; for an overview and comparison, see Dziak, Coffman, Lanza, & Li, 2012; Garamszegi, 2011).”
Changing philosophies and tools for statistical inferences in behavioral ecology (2009, background): “Behavioral Ecology doi:10.1093/beheco/arp137 Advance Access publication 2 November 2009 Review Changing philosophies and tools for statistical inferences in behavioral ecology”
Ecologists overestimate the importance of predictor variables in model averaging: a plea for cautious interpretations (2014, background): “In such cases, it is recommended that interpretations are based on a set of models rather than on the first-ranked model only (Burnham&Anderson 2002, Burnham,Anderson&Huyvaert 2011, Garamszegi et al. 2009, Garamszegi 2011).”
Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error (2010, background): “This contribution is part of the Special Issue “Model selection, multimodel inference and information-theoretic approaches in behavioural ecology” (see Garamszegi 2010 ).”
Developing multiple hypotheses in behavioral ecology (2010, background): “Acknowledgments We thank Laszlo Garamszegi for his encouragement in writing this manuscript, participants of the “ABCD” statistical symposium held at the 2008 meeting of the International Society for Behavioral Ecology for vigorous and insightful discussion, and three anonymous reviewers for critica”
Using information theory as a substitute for stepwise regression in ecology and behavior (2010, unknown): “Communicated by P. Bednekoff This contribution is part of the Special Issue “Model selection, multimodel inference and information-theoretic approaches in behavioural ecology” (see Garamszegi 2010).”
Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective (2010, methodology): “I believe that both have their justifications, are useful under certain circumstances, have specific strengths and limitations, and will probably coexist (presumably supplemented by Bayesian inference, Garamszegi 2010) for a long period.”
Model averaging, missing data and multiple imputation: a case study for behavioural ecology (2010, methodology): “Over recent years, information theoretic (IT) approaches (Burnham and Anderson 2002) have had far-reaching effects on the way that statistical analysis is conducted in ecology and evolutionary biology (Strimmer and Rambaut 2002; Rushton et al. 2004; Johnson and Omland 2004; Stephens et al. 2005, 200”
Model selection and model averaging in behavioural ecology: the utility of the IT-AIC framework (2010, methodology): “The apparent reluctance of behavioural ecologists to abandon traditional approaches to statistical analysis was a major motivation for the editors of this special issue (see also Garamszegi 2010).”
A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion (2010, methodology): “Of these novel methods, information theory (IT) and in particular the use of Akaike’s information criterion (AIC) is becoming widespread (Akaike 1973; Burnham and Anderson 2002; Garamszegi 2010 ).”