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Cognitive biases as Bayesian probability weighting in context [PDF]
Frontiers in PsychologyIntroductionHumans 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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A new RREQ message forwarding technique based on Bayesian probability theory [PDF]
EURASIP Journal on Wireless Communications and Networking, 2012 The flooding method, which is used by many mobile ad-hoc routing protocols, is a process in which a route request packet (RREQ) is broadcasted from a source node to other nodes in the network.
Venetis Kanakaris +3 more
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Collective animal behavior from Bayesian estimation and probability matching. [PDF]
PLoS Computational Biology, 2011 Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in animal collectives is mainly based on empirical fits to observations, with ...
Alfonso Pérez-Escudero +1 more
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ON BAYESIAN LOGICAL PROBABILITY [PDF]
ETS Research Bulletin Series, 1964 ABSTRACTIn a recent paper (Edwards, Lindman, and Savage, 1963), psychologists have been urged to adopt a Bayesian personal probability approach to statistical inference. The purpose of this paper is to suggest that a Bayesian logical probability approach may be superior to the personal probability approach.
Melvin R. Novick
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Probability and Bayesian Statistics. [PDF]
Journal of the Royal Statistical Society. Series A (Statistics in Society), 1989 P. M. Lee, Reinhard Karl Wolfgang Viertl
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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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Improved naive Bayesian probability classifier in predictions of nuclear mass
Physical Review C, 2021 Background: Recently, novel statistical methods such as neural networks and Bayesian learning methods are implemented to describe the nuclear masses. Purpose: Based on previous studies, an improved naive Bayesian probability (iNBP) classifier is proposed
Yifan Liu +5 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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Quantum probabilities as Bayesian probabilities [PDF]
Physical Review A, 2002 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.
Ruediger Schack +2 more
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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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