Etymologia: Bayesian Probability [PDF]
Emerging Infectious Diseases, 2017 Ronnie Henry, Martin I. Meltzer
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Subjective confidence reflects representation of Bayesian probability in cortex. [PDF]
Nat Hum Behav, 2022 What gives rise to the human sense of confidence? Here we tested the Bayesian hypothesis that confidence is based on a probability distribution represented in neural population activity.
Geurts LS +3 more
europepmc +2 more sources
Repeatability of IVIM biomarkers from diffusion-weighted MRI in head and neck: Bayesian probability versus neural network. [PDF]
Magn Reson Med, 2021 The intravoxel incoherent motion (IVIM) model for DWI might provide useful biomarkers for disease management in head and neck cancer. This study compared the repeatability of three IVIM fitting methods to the conventional nonlinear least‐squares ...
Koopman T +8 more
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Establishing a New Link between Fuzzy Logic, Neuroscience, and Quantum Mechanics through Bayesian Probability: Perspectives in Artificial Intelligence and Unconventional Computing. [PDF]
Molecules, 2021 Human interaction with the world is dominated by uncertainty. Probability theory is a valuable tool to face such uncertainty. According to the Bayesian definition, probabilities are personal beliefs.
Gentili PL.
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An RFID Indoor Positioning Algorithm Based on Bayesian Probability and K-Nearest Neighbor. [PDF]
Sensors (Basel), 2017 The Global Positioning System (GPS) is widely used in outdoor environmental positioning. However, GPS cannot support indoor positioning because there is no signal for positioning in an indoor environment. Nowadays, there are many situations which require
Xu H, Ding Y, Li P, Wang R, Li Y.
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Isotopic reconstruction of the weaning process in the archaeological population of Canímar Abajo, Cuba: A Bayesian probability mixing model approach. [PDF]
PLoS One, 2017 The general lack of well-preserved juvenile skeletal remains from Caribbean archaeological sites has, in the past, prevented evaluations of juvenile dietary changes.
Chinique de Armas Y +7 more
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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 Categorical Foundation for Bayesian Probability [PDF]
Applied Categorical Structures, 2012 Building on the work of Lawvere and others, we develop a categorical framework for Bayesian probability. This foundation will then allow for Bayesian representations of uncertainty to be integrated into other categorical modeling applications.
Jared Culbertson, K. Sturtz
semanticscholar +4 more sources
Probabilistic inference: Task dependency and individual differences of probability weighting revealed by hierarchical Bayesian modelling [PDF]
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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Bayesian probability of success for clinical trials using historical data. [PDF]
Stat Med, 2015 Ibrahim JG +4 more
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