Approximate Bayesian Model Selection with the Deviance Statistic [PDF]
Statistical Science, 2015 Bayesian model selection poses two main challenges: the specification of parameter priors for all models, and the computation of the resulting Bayes factors between models. There is now a large literature on automatic and objective parameter priors in the linear model.
Held, Leonhard +2 more
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Bayesian spatio-temporal modeling of COVID-19 incidence in Algerian provinces using integrated nested Laplace approximations [PDF]
Scientific ReportsThe COVID-19 pandemic in Algeria dissplayed significant spatial and temporal heterogeneity, especially during the severe summer 2021 wave driven by the Delta variant.
Ayoub Asri
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The Role of Employee Moral Awareness in Promoting Ethical Leadership: Towards Reducing Organisational Deviance in Ghana [PDF]
Business Ethics and Leadership, 2023 A leader's influence on subordinate behaviour may not always be direct as indicated by some researchers. Ethical leadership's influence may be dependent on other boundary factors.
Rosemary Boateng Coffie +2 more
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Frontiers in Psychology, 2022 IntroductionThis study is dedicated to exploring the influence of perceived overall injustice on employee anger and deviant behavior. Based on fairness heuristic theory and cognitive appraisal theory of emotion, a model was developed to investigate the ...
Ge Qin, Lihua Zhang
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Relationship between Grade Point Average, Ethnicity, Economic Power and Physical Situation with Subculture of Violence Relying on the On the Fundamental and Superficial Components Affecting Abnormality [PDF]
Faṣlnāmah-i Pizhūhish-i Huqūq-i Kiyfarī, 2023 The increase in violence among teenagers and young people is one of the basic problems of today's societies. One of the obvious results of the increase in violence is a significant increase in the rate of committing violent crimes, which itself leads to ...
Sina mahdavi damghani +2 more
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Distinct brain dynamics and networks for processing short and long auditory time intervals
Scientific Reports, 2023 Psychophysical studies suggest that time intervals above and below 1.2 s are processed differently in the human brain. However, the neural underpinnings of this dissociation remain unclear.
Nicola Thibault +2 more
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Bayesian Estimation of Parameters Correlation of Bivariate Poisson Distribution [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2016 In this study, based on Bayesian Generalized Linear Models, correlation between the parameters of two Poisson distributions was computed. Due to lack of the closed form for posterior distribution, hierarchical Bayesian statistics using the Metropolis ...
Farzad Eskandari
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Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 2020 Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
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Detection of regularities in auditory sequences before and at term-age in human neonates
NeuroImage, 2023 During the last trimester of gestation, fetuses and preterm neonates begin to respond to sensory stimulation and to discover the structure of their environment. Yet, neuronal migration is still ongoing.
Marine Panzani +3 more
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Journal of Psychopathology and Clinical Science, 2021 Explicitly or implicitly, psychopathology is often defined in terms of statistical deviance, requiring that an affected individual is sufficiently distant from the norm in some dimension of psychological or neural function. In recent decades, the dominant paradigm in psychiatric research has focused primarily on deviance in neural function, treating ...
Colin G. DeYoung, Robert F. Krueger
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