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Etymologia: Bayesian Probability [PDF]
Ronnie Henry, Martin I. Meltzer
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Cognitive biases as Bayesian probability weighting in context [PDF]
IntroductionHumans 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 use of Bayesian methods for the analysis of Studies Within A Trial: a proof-of-concept case study [PDF]
Background and Aims A Study Within A Trial (SWAT) is a research study embedded within a larger trial which aims to investigate different strategies for a particular trial process, such as trial recruitment.
Suzie Cro +3 more
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Probability biases as Bayesian inference [PDF]
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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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
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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Bayesian Brains without Probabilities [PDF]
Bayesian explanations have swept through cognitive science over the past two decades, from intuitive physics and causal learning, to perception, motor control and language. Yet people flounder with even the simplest probability questions. What explains this apparent paradox? How can a supposedly Bayesian brain reason so poorly with probabilities?
Sanborn, Adam N., Chater, Nick
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A Categorical Foundation for Bayesian Probability [PDF]
15 pages; revised setting to more clearly explain how to incorporate perfect measures and the Giry monad; to appear in Applied Categorical ...
Jared Culbertson, Kirk Sturtz
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Quantum probabilities as Bayesian probabilities [PDF]
In the Bayesian approach to probability theory, probability quantifies a degree of belief for a single trial, without any a priori connection to limiting frequencies. In this paper we show that, despite being prescribed by a fundamental law, probabilities for individual quantum systems can be understood within the Bayesian approach.
Caves, Carlton M. +2 more
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Bayesian optimization for computationally extensive probability distributions. [PDF]
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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