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Conditional Belief, Knowledge and Probability [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 A natural way to represent beliefs and the process of updating beliefs is presented by Bayesian probability theory, where belief of an agent a in P can be interpreted as a considering that P is more probable than not P. This paper attempts to get at the
Jan van Eijck, Kai Li
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Conditional probability of distributed surface rupturing during normal-faulting earthquakes [PDF]
Solid Earth, 2021 Coseismic surface faulting is a significant source of hazard for critical plants and distributive infrastructure; it may occur either on the principal fault or as distributed rupture on nearby faults.
M. F. Ferrario, F. Livio
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Towards a Categorical Account of Conditional Probability [PDF]
Electronic Proceedings in Theoretical Computer Science, 2015 This paper presents a categorical account of conditional probability, covering both the classical and the quantum case. Classical conditional probabilities are expressed as a certain "triangle-fill-in" condition, connecting marginal and joint ...
Robert Furber, Bart Jacobs
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Multiple perspectives on the concept of conditional probability [PDF]
Avances de Investigación en Educación Matemática, 2012 Conditional probability is a key to the subjectivist theory of probability; however, it plays a subsidiary role in the usual conception of probability where its counterpart, namely independence is of basic importance.
Manfred Borovcnik
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Conditional Probability Modulates Visual Search Efficiency [PDF]
Frontiers in Human Neuroscience, 2013 We investigated the effects of probability on visual search. Previous work has shown that people can utilize spatial and sequential probability information to improve target detection.
Bryan eCort +2 more
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Conditional Probability Operators [PDF]
The Annals of Mathematical Statistics, 1962 The study of laws of random variables is facilitated by various methods of representing these laws. The distribution function and characteristic function have played an important role, and the functional representation of the law of a random variable $X$ as a mapping $T$ of the bounded Borel functions into the real line given by $Tg = Eg(X)$ connects ...
Robert Cogburn
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A Definition of Conditional Probability with Non-Stochastic Information [PDF]
Entropy, 2018 The current definition of a conditional probability enables one to update probabilities only on the basis of stochastic information. This paper provides a definition for conditional probability with non-stochastic information.
Pier Giovanni Bissiri +1 more
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Tactile temporal predictions: The influence of conditional probability [PDF]
i-PerceptionPredicting the timing of incoming information allows brain to optimize information processing in dynamic environments. However, the effects of temporal predictions on tactile perception are not well established.
Rongxia Ren +6 more
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JMIR Medical Informatics, 2022 BackgroundRedundancy in laboratory blood tests is common in intensive care units (ICUs), affecting patients’ health and increasing health care expenses.
Camilo E Valderrama +3 more
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The Topology-Free Construction of the Universal Type Structure for Conditional Probability Systems [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 We construct the universal type structure for conditional probability systems without any topological assumption, namely a type structure that is terminal, belief-complete, and non-redundant.
Pierfrancesco Guarino
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