Bayesian Probability - Revision history

DavidB4-bot: /* top */clean up & uniformity

2016-07-13T02:59:45Z

top: clean up & uniformity

Karajou: Reverted edits by RyanMatthews (Talk) to last version by RJJensen

2009-11-14T17:15:55Z

Reverted edits by RyanMatthews (Talk) to last version by RJJensen

RyanMatthews: Add a little more

2009-11-14T16:40:20Z

Add a little more

RJJensen at 21:14, November 8, 2009

2009-11-08T21:14:03Z

Qwestor at 19:40, February 28, 2009

2009-02-28T19:40:56Z

Qwestor at 19:39, February 28, 2009

2009-02-28T19:39:21Z

Qwestor at 00:27, February 22, 2009

2009-02-22T00:27:49Z

Qwestor at 00:19, January 7, 2008

2008-01-07T00:19:04Z

Qwestor: New page: '''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of Bernoulli, Bayes, [[Pierre Simon de Lapl...

2008-01-07T00:09:38Z

New page: '''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of Bernoulli, Bayes, [[Pierre Simon de Lapl...

New page

'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli|Bernoulli]], [[Rev Thomas Bayes|Bayes]], [[Pierre Simon de Laplace|Laplace]] (and more recently of [[Sir Harold Jeffreys|Jeffreys]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from certainty to uncertainty and all intermediate values.

← Older revision		Revision as of 02:59, July 13, 2016
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	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.		'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.

−	[[~~category~~:Probability and Statistics]]	+	[[Category:Probability and Statistics]]

← Older revision		Revision as of 17:15, November 14, 2009
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−	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values. Unlike frequentist statistics, Bayesian statistics starts from initial "estimates" of probabilities, which may reflect anecdotal evidence and/or ideology. Probabilities are revised as evidence is accumulated.	+	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.

	[[category:Probability and Statistics]]		[[category:Probability and Statistics]]

← Older revision		Revision as of 16:40, November 14, 2009
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−	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.	+	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values. Unlike frequentist statistics, Bayesian statistics starts from initial "estimates" of probabilities, which may reflect anecdotal evidence and/or ideology. Probabilities are revised as evidence is accumulated.

	[[category:Probability and Statistics]]		[[category:Probability and Statistics]]

← Older revision		Revision as of 21:14, November 8, 2009
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	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.		'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.

−	[[~~Category~~:Probability]]	+	[[category:Probability and Statistics]]

← Older revision		Revision as of 19:40, February 28, 2009
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−	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]],[[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.	+	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]], [[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.

	[[Category:Probability]]		[[Category:Probability]]

← Older revision		Revision as of 19:39, February 28, 2009
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−	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.	+	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]],[[Richard T. Cox\|Cox]], and [[Edwin T. Jaynes\|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.

	[[Category:Probability]]		[[Category:Probability]]

← Older revision		Revision as of 00:27, February 22, 2009
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−	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from certainty to ~~uncertainty~~ and all intermediate values.	+	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.

	[[Category:Probability]]		[[Category:Probability]]

← Older revision		Revision as of 00:19, January 7, 2008
Line 1:		Line 1:
	'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from certainty to uncertainty and all intermediate values.		'''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli\|Bernoulli]], [[Rev Thomas Bayes\|Bayes]], [[Pierre Simon de Laplace\|Laplace]] (and more recently of [[Sir Harold Jeffreys\|Jeffreys]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from certainty to uncertainty and all intermediate values.
		+
		+	[[Category:Probability]]