Results 1 to 10 of about 11,906,471 (302)
L'INTÉRÊT D'UNE DÉMARCHE CONTRASTIVE POUR L'ACQUISITION DU PLUS-QUE-PARFAIT CHEZ DES APPRENANTS DU CYCLE MOYEN EN ALGÉRIE [PDF]
Studii de gramatică contrastivă, 2021 The study has blossomed form our observation that middle school students experience great difficulties when it comes to understanding and using the tense 'plus-que-parfait' in accordance with other tenses.
Djelloul Haboul, Rachid Bouzidi
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Judgment and Decision Making, 2022 Bayesian statistics offers a normative description for how a person should combine their original beliefs (i.e., their priors) in light of new evidence (i.e., the likelihood).
Piers Douglas Lionel Howe +4 more
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Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2021 AbstractThis paper outlines a framework for quantifying the prior’s contribution to posterior inference in the presence of prior-likelihood discordance, a broader concept than the usual notion of prior-likelihood conflict. We achieve this dual purpose by extending the classic notion of prior sample size, M, in three directions: (I) estimating M beyond ...
Reimherr, Matthew +2 more
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Converging theories on dreaming: Between Freud, predictive processing, and psychedelic research
Frontiers in Human Neuroscience, 2023 Dreams are still an enigma of human cognition, studied extensively in psychoanalysis and neuroscience. According to the Freudian dream theory and Solms' modifications of the unconscious derived from it, the fundamental task of meeting our emotional needs
Michael Koslowski +5 more
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Frontiers in Cardiovascular Medicine, 2021 Aims: Evidence-based guidelines for heart failure management depend mainly on current left ventricular ejection fraction (LVEF). However, fewer studies have examined the impact of prior LVEF.
Xinxin Zhang +9 more
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Barekeng, 2023 Bayesian Additive Regression Tree (BART) is a sum-of-trees model used to approximate classification or regression cases. The main idea of this method is to use a prior distribution to keep the tree size small and a likelihood from data to get the ...
Stevanny Budiana +2 more
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Remote Sensing, 2021 The crosshole ground penetrating radar (GPR) is a widely used tool to map subsurface properties, and inversion methods are used to derive electrical parameters from crosshole GPR data.
Hui Qin +3 more
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Frontiers in Environmental Science, 2021 Large compilations of heterogeneous environmental observations are increasingly available as public databases, allowing researchers to test hypotheses across datasets.
Gregory L. Britten +13 more
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Reduced Context Updating but Intact Visual Priors in Autism
Computational Psychiatry, 2021 A general consensus persists that sensory-perceptual differences in autism, such as hypersensitivities to light or sound, result from an overreliance on new (rather than prior) sensory observations. However, conflicting Bayesian accounts of autism remain
R. Randeniya +3 more
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The effects of contract detail and prior ties on contract change : a learning perspective [PDF]
, 2021 Despite the large literature on alliance contract design, we know little about how transacting parties change and amend their underlying contracts during the execution of strategic alliances.
Klijn, Elko +4 more
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