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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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Postglacial dispersal limitation of widespread forest plant species in nemoral Europe
TL;DR: The authors investigated the importance of postglacial migrational lag, climate, and soil as range determinants for 47 widespread forest plant species across nemoral Europe (47.0-60.0°N, west of 24°E) using regression modeling, information-theoretic model selection, multi-model inference, and variation partitioning.
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Model misspecification and probabilistic tests of topology: Evidence from empirical data sets
TL;DR: The results suggest that the SOWH test may accord overconfidence in the true topology when the null hypothesis is in fact correct, and that the SH test was observed to be much more conservative, even under high substitution rates and branch length heterogeneity.
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A review of automatic selection methods for machine learning algorithms and hyper-parameter values
TL;DR: These findings establish a foundation for future research on automatically selecting algorithms and hyper-parameter values for analyzing big biomedical data and identify several of their limitations in thebig biomedical data environment.
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Temperature-dependent growth of Geomyces destructans, the fungus that causes bat white-nose syndrome
TL;DR: It is demonstrated that small variations in temperature, consistent with those inherent of bat hibernacula, affect growth performance and physiology of G. destructans, which may influence temperature-dependent progression and severity of WNS in wild bats.
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Spatial heterogeneity influences native and nonnative plant species richness.
TL;DR: In this article, the effects of spatial heterogeneity on native and non-native plant species richness distributions in the central part of Rocky Mountain National Park, Colorado, USA were examined using the FRAGSTATS landscape pattern analysis program.