Results 111 to 120 of about 4,373,274 (284)
American crow Corvus brachyrhynchos is a common species throughout North America. Crows play a role in the ecology of multiple diseases and a single laboratory experiment has shown the potential for crows to pass infectious prions, such as those associated with chronic wasting disease (CWD), in their feces after being force‐fed with infected material ...
Tyler S. Walters +2 more
wiley +1 more source
The law of AI knowledge distillation
Abstract Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities.
Taorui Guan
wiley +1 more source
Movement Responses of Seals During Pile Driving for Offshore Wind Farm Construction
Despite rapid growth of the renewable energy industry to meet climate change targets, predictions of population‐level impacts on wildlife are currently hindered by a limited understanding of individual behavioural responses to these developments.
Katherine F. Whyte +4 more
wiley +1 more source
A Bayesian look at nuisance parameters
The elimination of nuisance parameters has classically been tackled by variousad hoc devices, and has led to a number of attempts to define partial sufficiency and ancillarity. The Bayesian approach is clearly defined. This paper examines some classical procedures in order to see when they can be given a Bayesian justification.
openaire +2 more sources
IRT‐based response style models and related methodology: Review and commentary
Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
We reanalyze the spectral lag data for GRB 160625B using frequentist inference in order to constrain the energy scale $$(E_{QG})$$ ( E QG ) of Lorentz Invariance Violation (LIV).
Shantanu Desai, Shalini Ganguly
doaj +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
The perception of flooding and water nuisance [PDF]
In this paper we aim to gain insight in the determinants that control the risk perception of flooding and water nuisance by developing and validating a questionnaire.
Govert Geldof +3 more
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