1. What have the authors contributed in "All about aic" ?
The Akaike Information Criterion ( AIC ) this paper is a versatile criterion for model comparison and model selection.
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All About AIC
Del Giudice M
- 05 Jun 2020
About: The article was published on 05 Jun 2020. and is currently open access.
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References
•Book
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Kenneth P. Burnham,David E. Anderson +1 more
- 19 Jun 2013
TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
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•Book
Model Based Inference in the Life Sciences: A Primer on Evidence
David E. Anderson
- 24 Apr 1998
TL;DR: This chapter discusses the role of information theory and entropy in the construction of science hypotheses and the role that these theories play in the development of science philosophy.
Model selection for ecologists: the worldviews of AIC and BIC
TL;DR: Ecologists frequently ask questions that are best addressed with a model comparison approach.
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Model Based Inference in the Life Sciences: A Primer on Evidence
TL;DR: Concerns might be that the algorithm did not converge to the maximum or that mixture distributions are not in the exponential family and the log-likelihood function might have more than a single mode.
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