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Cognitive biases as Bayesian probability weighting in context [PDF]
Frontiers in PsychologyIntroductionHumans often exhibit systematic biases in judgments under uncertainty, such as conservatism bias and base-rate neglect. This study investigates the context dependence of these biases within a Bayesian framework.MethodsForty-eight participants
Bruno Kopp
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The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
Tikrit Journal of Pure Science, 2023 This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution.
Haifaa Abdulgawwad Saeed +2 more
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A Bayesian Inference Based Computational Tool for Parametric and Nonparametric Medical Diagnosis
Diagnostics, 2023 Medical diagnosis is the basis for treatment and management decisions in healthcare. Conventional methods for medical diagnosis commonly use established clinical criteria and fixed numerical thresholds. The limitations of such an approach may result in a
Theodora Chatzimichail +1 more
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Measurement: Sensors, 2022 The process of revising the Guide to the Expression of Uncertainty in Measurement (GUM) is ongoing. A successful revision must be theoretically sound, so it must be based on a recognized paradigm for scientific data analysis.
R. Willink
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Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters [PDF]
, 2011 Linear models with a growing number of parameters have been widely used in modern statistics. One important problem about this kind of model is the variable selection issue. Bayesian approaches, which provide a stochastic search of informative variables,
Clayton, Murray K., Shang, Zuofeng
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A Bayesian probability model for Android malware detection
ICT Express, 2022 The unprecedented growth of mobile technology has generated an increase in malware and raised concerns over malware threats. Different approaches have been adopted to overcome the malware attacks yet this spread is still increasing. To combat this issue,
Sharfah Ratibah Tuan Mat +4 more
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Simultaneous probability statements for Bayesian P-splines [PDF]
, 2005 P-splines are a popular approach for fitting nonlinear effects of continuous covariates in semiparametric regression models. Recently, a Bayesian version for P-splines has been developed on the basis of Markov chain Monte Carlo simulation techniques for
Brezger, Andreas, Lang, S.
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International Journal of Management and Economics, 2018 : The paper consists of a discussion on the relevance of non-income drivers of welfare. This discussion is based on a subjective Bayesian reasoning, where welfare perceptions are subjectively rational decisions of individuals, who are, as author suggests,
Wiśniewski Tomasz P.
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Bayesian Update with Information Quality under the Framework of Evidence Theory
Entropy, 2018 Bayesian update is widely used in data fusion. However, the information quality is not taken into consideration in classical Bayesian update method. In this paper, a new Bayesian update with information quality under the framework of evidence theory is ...
Yuting Li, Fuyuan Xiao
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Risk prediction and diagnosis of urban gas pipeline accidents based on polymorphic fuzzy Bayesian network [PDF]
Journal of Hebei University of Science and Technology, 2023 In order to evaluate the risk level of the urban gas pipeline system, and provide the reference for follow-up prevention efforts, a quantitative analysis method of gas pipeline accident risk was proposed based on polymorphic fuzzy Bayesian network ...
Ying QU +3 more
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