Results 11 to 20 of about 166,638 (162)
Objective and Subjective Solomonoff Probabilities in Quantum Mechanics [PDF]
Electronic Proceedings in Theoretical Computer Science, 2018 Algorithmic probability has shown some promise in dealing with the probability problem in the Everett interpretation, since it provides an objective, single-case probability measure.
Allan F. Randall
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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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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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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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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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Market Structure and Competition in the Indian Microfinance Sector
Vikalpa, 2019 Executive Summary The Indian microfinance sector has experienced fundamental changes in the structure of ownership and management of microfinance institutions (MFIs).
Nitin Navin, Pankaj Sinha
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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
International Journal of Interactive Multimedia and Artificial Intelligence, 2014 Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of the important problems that ...
Sho Fukuda +2 more
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The Effects of Working Memory and Probability Format on Bayesian Reasoning
Frontiers in Psychology, 2020 Bayesian reasoning is common and critical in everyday life while the performance on Bayesian reasoning is rather poor. Previous studies showed that people could enhance their performance by applying cognitive resources under the natural frequency format ...
Lin Yin +5 more
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