Results 31 to 40 of about 1,651,457 (304)
Fault diagnosis of mine drainage system based on fuzzy Bayesian network
Gong-kuang zidonghua, 2022 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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Bayesian Probabilities and the Histories Algebra [PDF]
International Journal of Theoretical Physics, 2006 10 pages, accepted by Int. J. Theo. Phys.
openaire +2 more sources
Randomization-based, Bayesian inference of causal effects
Journal of Causal Inference, 2023 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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Bayesian Linear Regression [PDF]
, 2009 The paper is concerned with Bayesian analysis under prior-data conflict, i.e. the situation when observed data are rather unexpected under the prior (and the sample size is not large enough to eliminate the influence of the prior).
Walter, Gero, Augustin, Thomas
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Self-organized complexity and Coherent Infomax from the viewpoint of Jaynes’s probability theory [PDF]
, 2012 This paper discusses concepts of self-organized complexity and the theory of Coherent Infomax in the light of Jaynes’s probability theory. Coherent Infomax, shows, in principle, how adaptively self-organized complexity can be preserved and improved by ...
Phillips, William A. +2 more
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Bayesian Integration of Probability and Non-Probability Samples
StatsNon-probability samples (NPS) are increasingly used in practice because they are relatively inexpensive and often contain the study outcome variable. However, NPS may suffer from selection bias and usually do not provide survey weights, making finite ...
Qi Chen, Balgobin Nandram
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Frontiers in Psychology, 2016 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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Clinical and Translational Science, 2023 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
Informal Logic, 2008 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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Clinical and Translational Science, 2023 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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