Definitions
from The American Heritage® Dictionary of the English Language, 5th Edition.
- adjective Of or relating to an approach to probability in which prior results are used to calculate probabilities of certain present or future events.
from Wiktionary, Creative Commons Attribution/Share-Alike License.
- adjective probability, statistics Of or pertaining to Thomas Bayes, English mathematician.
Etymologies
from The American Heritage® Dictionary of the English Language, 4th Edition
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Examples
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Failure of the conditions can lead to convergence on cycles and other failures to get to the correct probability (Diaconis and Freeman, Annals of Statistics, 1988), even assuming that such exists in any meaningful sense, which for a hard-core subjectivist Bayesian is not true anyway.
The Bayes Who Wasn't There, Bryan Caplan | EconLog | Library of Economics and Liberty 2009
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This notion, central to a discipline known as Bayesian statistics, refers to the odds that the person suspected of being a match is a match, irrespective of the DNA evidence.
Matching Science of DNA With Art of Identification Carl Bialik 2011
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This is the cornerstone of the ideas and techniques called Bayesian networks, a major tool for solving a large class of problems.
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In statistics, the so-called Bayesian interpretation of probability was mainly developed by Laplace.
Was It Worth It? 2009
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Elements of the logicist conception of inductive logic live on today as part of the general approach called Bayesian inductive logic.
Inductive Logic Hawthorne, James 2008
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So, such approaches might well be called Bayesian logicist inductive logics.
Inductive Logic Hawthorne, James 2008
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It treats inductive probability as part of a larger normative theory of belief and action known as Bayesian decision theory.
Inductive Logic Hawthorne, James 2008
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The use of prior information P(y,r(k delta_t)) in an estimation problem is known as Bayesian estimation.
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Bender, I think, with the number of existing schools of thought called Bayesian, one could obtain a wide variety of individual inferences on how it is applied.
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My filtering rate is still over 99.7%, and Brian Burton reports an astonishing 99.9% with his multi-word Bayesian
So Far, So Good 2003
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