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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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TLDR
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).Abstract:
Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summaryread more
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Extinction risk depends strongly on factors contributing to stochasticity
Brett A. Melbourne,Alan Hastings +1 more
TL;DR: The results demonstrate that current estimates of extinction risk for natural populations could be greatly underestimated because variability has been mistakenly attributed to the environment rather than the demographic factors described here that entail much higher extinctionrisk for the same variability level.
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Neural Computations Underlying Arbitration between Model-Based and Model-free Learning
TL;DR: It is shown that the inferior lateral prefrontal and frontopolar cortex encode both reliability signals and the output of a comparison between those signals, implicating these regions in the arbitration process, and suggests that arbitration may work through modulation of the model-free valuation system when the arbitrator deems that themodel-based system should drive behavior.
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Improved detection of an alien invasive species through environmental DNA barcoding: the example of the American bullfrog Lithobates catesbeianus
TL;DR: It is demonstrated that the eDNA method is valuable for species detection and surpasses traditional amphibian survey methods in terms of sensitivity and sampling effort, suggesting that traditional field surveys have strongly underestimated the distribution of the American bullfrog.
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Kinetic Modeling of Food Quality: A Critical Review
TL;DR: In this paper, the possibilities to study relevant quality aspects of food, such as color, nutrient content, and safety, in a quantitative way via mathematical models are discussed, and it is argued that the modeling of such quality aspects is in fact kinetic modeling.
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Model averaging and muddled multimodel inferences
TL;DR: Three flawed practices associated with model averaging coefficients for predictor variables in regression models commonly occur when making multimodel inferences in analyses of ecological data and ought to be discontinued if the authors are to make effective scientific contributions to ecological knowledge and conservation of natural resources.