Results 141 to 150 of about 17,240 (299)
Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?
Global Policy, EarlyView.ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley +1 more source
A Bayesian look at nuisance parameters
Trabajos de Estadistica Y de Investigacion Operativa, 1980 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
Methods in Ecology and Evolution, EarlyView.Abstract Estimating wildlife population density is fundamental to ecology and conservation. While camera traps have revolutionized the monitoring of medium‐ to large‐sized mammals, estimating the density of unmarked populations remains a major challenge. Current models rely on a critical and often‐violated synchronized activity assumption.
Ryo Matsuoka +2 more
wiley +1 more source
Smooth ‘inverted-V-shaped’ & smooth ‘N-shaped’ pollution-income paths [PDF]
We explore the idea of regime switching as a new methodological approach in the analysis of the emission-income relationship. A static smooth transition regression model is developed with fixed-effects.
Anastasios Xepapadeas +1 more
core
Neighborhoods as Nuisance Parameters? Robustness vs. Semiparametrics [PDF]
, 1999 Deviations from the center within a robust neighborhood may naturally be considered an in nite dimensional nuisance parameter. Thus, the semiparametric method may be tried, which is to compute the scores function for the main parameter minus its ...
Rieder, Helmut, Helmut Rieder
core
IRT‐based response style models and related methodology: Review and commentary
British Journal of Mathematical and Statistical Psychology, EarlyView.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
British Journal of Mathematical and Statistical Psychology, EarlyView.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
An Identification-Robust Test for Time-Varying Parameters in the Dynamics of Energy Prices [PDF]
We test for the presence of time-varying parameters (TVP) in the long-run dynamics of energy prices for oil, natural gas and coal, within a standard class of mean-reverting models. We also propose residual-based diagnostic tests and examine out-of-sample
Maral Kichian +3 more
core
, 1977 Conditional tests on the scale parameter of the gamma distribution with an unknown nuisance shape parameter are considered. Such tests, based upon the conditional distribution of the sample mean x (or equivalently Wi, = x/x) given the geometric mean x ...
Bain, Lee J., Engelhardt, Max
core +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
British Journal of Mathematical and Statistical Psychology, EarlyView.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