Results 21 to 30 of about 166,638 (162)
Risk prediction and diagnosis of urban gas pipeline accidents based on polymorphic fuzzy Bayesian network [PDF]
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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Bayesian Probabilities and the Histories Algebra [PDF]
10 pages, accepted by Int. J. Theo. Phys.
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Bayesian utilitarianism and probability homogeneity [PDF]
This paper investigates, within the axiomatic framework of Jeffrey-Bolker decision theory, two kinds of conditions and the relation between them: (1) The Utilitarian condition that social rankings of prospects be representable by an expected utility function that is a weighted sum of the expected utility functions representing individual rankings; and (
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Fault diagnosis of mine drainage system based on fuzzy Bayesian network
The mine drainage system is developing towards automation and intelligence. The system's structure and function are becoming more and more complex, and the abnormal function and failure of a single component may cause the failure of the whole system. The
SHI Xiaojuan, YAO Bing, GU Huabei
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Randomization-based, Bayesian inference of causal effects
Bayesian causal inference in randomized experiments usually imposes model-based structure on potential outcomes. Yet causal inferences from randomized experiments are especially credible because they depend on a known assignment process, not a ...
Leavitt Thomas
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Cognitive determinants of probabilistic inference were examined using hierarchical Bayesian modelling techniques. A classic urn-ball paradigm served as experimental strategy, involving a factorial two (prior probabilities) by two (likelihoods) design ...
Moritz eBoos +3 more
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In this study, we aimed to evaluate limited sampling strategies for achieving the therapeutic ranges of the area under the concentration‐time curve (AUC) of vancomycin on the first and second day (AUC0–24, AUC24–48, respectively) of therapy.
Kazutaka Oda +9 more
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A Normative Theory of Argument Strength
In this article, we argue for the general importance of normative theories of argument strength. We also provide some evidence based on our recent work on the fallacies as to why Bayesian probability might, in fact, be able to supply such an account.
Ulrike Hahn, Mike Oaksford
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Teicoplanin, a glycopeptide antimicrobial, is recommended for therapeutic drug monitoring, but it remains unclear how to target the area under the concentration‐time curve (AUC). This simulation study purposed to demonstrate the potential of the Bayesian
Kazutaka Oda +9 more
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Bayes-Based Fault Discrimination in Wide Area Backup Protection
Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that ...
WANG, Z., ZHANG, J., ZHANG, Y.
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