Open AccessBook
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Reads0
Chats0
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
Citations
More filters
Journal ArticleDOI
Reburn severity in managed and unmanaged vegetation in a large wildfire
TL;DR: Examination of a forest landscape in southwest Oregon that burned in 1987 and then was subject, in part, to salvage-logging and conifer planting before it reburned during the 2002 Biscuit Fire suggests that fuel conditions in conifer plantations can increase fire severity despite removal of large woody fuels.
Journal ArticleDOI
Registration of Challenging Image Pairs: Initialization, Estimation, and Decision
TL;DR: An automated 2D-image-pair registration algorithm capable of aligning images taken of a wide variety of natural and man-made scenes as well as many medical images and substantially out-performs algorithms based on keypoint matching alone is proposed.
Journal ArticleDOI
A solution to minimum sample size for regressions
TL;DR: A minimum N = 8 is informative given very little variance, but minimum N ≥ 25 is required for more variance, and alternative models are better compared using information theory indices such as AIC but not R2 or adjusted R2.
Journal ArticleDOI
Restoring Yellowstone’s aspen with wolves
TL;DR: Results indicate reduced browsing and increased heights of young aspen during the last 4–5 years, particularly at high predation risk sites (riparian areas with downed logs) and in contrast, youngAspen in upland settings generally showed continued suppression with only a slight decrease in browsing levels and only a small increase in height.
Journal ArticleDOI
MGMT methylation analysis of glioblastoma on the Infinium methylation BeadChip identifies two distinct CpG regions associated with gene silencing and outcome, yielding a prediction model for comparisons across datasets, tumor grades, and CIMP-status
Pierre Bady,Davide Sciuscio,Annie Claire Diserens,Jocelyne Bloch,Martin J. van den Bent,Christine Marosi,Pierre-Yves Dietrich,Michael Weller,Michael Weller,Luigi Mariani,Frank L. Heppner,David R. Mcdonald,Denis Lacombe,Roger Stupp,Mauro Delorenzi,Mauro Delorenzi,Monika E. Hegi,Monika E. Hegi,Monika E. Hegi +18 more
TL;DR: The proposed MGMT-STP27 prediction model allows mining of datasets derived on the HM-450K or HM-27K BeadChip to explore effects of distinct epigenetic context of MGMT methylation suspected to modulate treatment resistance in different tumor types.