Results 1 to 10 of about 584,257 (325)
Etymologia: Bayesian Probability [PDF]
Emerging Infectious Diseases, 2017 Ronnie Henry, Martin I. Meltzer
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Bayesian optimization for computationally extensive probability distributions. [PDF]
PLoS ONE, 2018 An efficient method for finding a better maximizer of computationally extensive probability distributions is proposed on the basis of a Bayesian optimization technique.
Ryo Tamura, Koji Hukushima
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Probability biases as Bayesian inference [PDF]
Judgment and Decision Making, 2006 In this article, I will show how several observed biases in human probabilistic reasoning can be partially explained as good heuristics for making inferences in an environment where probabilities have uncertainties associated to them.
André C. R. Martins
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Bayesian Decision Theory and Stochastic Independence [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 Stochastic independence has a complex status in probability theory. It is not part of the definition of a probability measure, but it is nonetheless an essential property for the mathematical development of this theory.
Philippe Mongin
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Bayesian probability estimates are not necessary to make choices satisfying Bayes' rule in elementary situations. [PDF]
Front Psychol, 2015 Domurat A +4 more
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暴雨灾害, 2021 Using the historical precipitation observation data in the Haihe River Basin and the ECMWF ensemble prediction, the 289 grid points in the Haihe River Basin are modeled with Bayesian Processor of Output (BPO), which revise the determine precipitation ...
Shu XU, Mingming XIONG, Fajing CHEN
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The research on Bayesian inference for geophysical inversion
地球与行星物理论评, 2022 Based on statistical theory, the Bayesian inversion method adopts the posterior probability distribution to evaluate the model parameters under the constraints of prior information and observation data.
Xingda Jiang, Wei Zhang, Hui Yang
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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks [PDF]
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 Bayesian sampler : generic Bayesian inference causes incoherence in human probability [PDF]
, 2020 Human probability judgments are systematically biased, in apparent tension with Bayesian models of cognition. But perhaps the brain does not represent probabilities explicitly, but approximates probabilistic calculations through a process of sampling, as
Chater, Nick +2 more
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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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