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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 * Summary

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An indicator of the impact of climatic change on European bird populations.

TL;DR: A significant relationship is found between interspecific variation in population trend and the change in potential range extent between the late 20th and late 21st centuries, forecasted by climatic envelope models.
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Quantifying the influence of sociality on population structure in bottlenose dolphins.

TL;DR: This work applies recently developed analytical techniques to the population of bottlenose dolphins residing along the Scottish east coast, to detect the presence of communities within this population and infer its social structure from the temporal variation in association patterns between individuals.
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Ontogeny of prosocial behavior across diverse societies

TL;DR: The ontogeny of prosocial behavior is examined by studying 326 children 3–14 y of age and 120 adults from six societies, including foragers, herders, horticulturalists, and urban dwellers across the Americas, Oceania, and Africa.
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Interactions between serotypes of dengue highlight epidemiological impact of cross-immunity

TL;DR: This is the first quantitative evidence that short-term cross-protection exists since human experimental infection studies performed in the 1950s and will impact strategies for designing dengue vaccine studies, future multi-Strain modelling efforts, and the understanding of evolutionary pressures in multi-strain disease systems.