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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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Journal ArticleDOI
Ecology under lake ice
Stephanie E. Hampton,Aaron W. E. Galloway,Stephen M. Powers,Ted Ozersky,Kara H. Woo,Ryan D. Batt,Stephanie G. Labou,Catherine M. O'Reilly,Sapna Sharma,Noah R. Lottig,Emily H. Stanley,Rebecca L. North,Jason D. Stockwell,Rita Adrian,Gesa A. Weyhenmeyer,Lauri Arvola,Helen M. Baulch,Isabella Bertani,Larry L. Bowman,Cayelan C. Carey,Jordi Catalan,William Colom-Montero,Leah M. Domine,Marisol Felip,Ignacio Granados,Corinna Gries,Hans-Peter Grossart,Hans-Peter Grossart,Juta Haberman,Marina Haldna,Brian Hayden,Scott N. Higgins,Jeffrey C. Jolley,Kimmo K. Kahilainen,Enn Kaup,Michael J. Kehoe,Sally Macintyre,Anson W. Mackay,Heather L. Mariash,Robert Michael L. McKay,Brigitte Nixdorf,Peeter Nõges,Tiina Nõges,Michelle E. Palmer,Donald C. Pierson,David M. Post,Matthew J. Pruett,Milla Rautio,Jordan S. Read,Sarah Roberts,Jacqueline Rücker,Steven Sadro,Eugene A. Silow,Derek E. Smith,Robert W. Sterner,George E. A. Swann,Maxim A. Timofeyev,Manuel Toro,Michael R. Twiss,Richard J. Vogt,Susan B. Watson,Erika J. Whiteford,Marguerite A. Xenopoulos +62 more
TL;DR: This is the first global quantitative synthesis on under-ice lake ecology, including 36 abiotic and biotic variables from 42 research groups and 101 lakes, examining seasonal differences and connections as well as how seasonal differences vary with geophysical factors.
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Identifying hidden rate changes in the evolution of a binary morphological character: the evolution of plant habit in campanulid angiosperms.
TL;DR: A new method for identifying different rates of evolution in a binary character along different branches of a phylogeny is developed and implemented and demonstrates a robust picture of growth form evolution across a very large, very old, and very widespread flowering plant clade.
Journal ArticleDOI
A large-scale deforestation experiment: effects of patch area and isolation on Amazon birds.
Goncalo N. Ferraz,James D. Nichols,James E. Hines,Philip C. Stouffer,Philip C. Stouffer,Richard O. Bierregaard,Richard O. Bierregaard,Thomas E. Lovejoy,Thomas E. Lovejoy +8 more
TL;DR: A 13-year data set of bird captures from a large landscape-manipulation experiment in a Brazilian Amazon forest is used to model the extinction-colonization dynamics of 55 species and basic predictions of island biogeography and metapopulation theory are tested.
Journal ArticleDOI
Integrating fossils with molecular phylogenies improves inference of trait evolution
TL;DR: It is shown through simulation that incorporation of fossil information dramatically improves the authors' ability to distinguish among models of quantitative trait evolution using comparative data, and suggests a novel Bayesian approach that allows fossil information to be integrated even when explicit phylogenetic hypotheses are lacking for extinct representatives of extant clades.
Journal ArticleDOI
Single-trial spike trains in parietal cortex reveal discrete steps during decision-making
Kenneth W. Latimer,Jacob L. Yates,Miriam L. R. Meister,Miriam L. R. Meister,Alexander C. Huk,Jonathan W. Pillow +5 more
TL;DR: Examination of single-trial responses in LIP using statistical methods for fitting and comparing latent dynamical spike-train models found that choice-selective neurons were better described by the stepping model, and the inferred steps carried more information about the animal’s choice than spike counts.