Probabilistic likelihood model - Revision history

Conservative at 03:11, February 19, 2024

2024-02-19T03:11:31Z

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

2016-07-13T17:52:30Z

top: clean up & uniformity

Karajou: Reverted edits by CarterM (talk) to last revision by RJJensen

2011-03-18T00:06:21Z

Reverted edits by CarterM (talk) to last revision by RJJensen

CarterM: G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D

2011-03-17T23:59:49Z

G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D

RJJensen at 21:09, November 8, 2009

2009-11-08T21:09:20Z

TerryH: Reverted edits by KillerFrenchFry21 (Talk); changed back to last version by Qwestor

2008-08-20T18:21:04Z

Reverted edits by KillerFrenchFry21 (Talk); changed back to last version by Qwestor

KillerFrenchFry21: Replacing page with 'Religion is Slavery!
http://www.zeitgeistmovie.com/'

2008-08-20T18:18:17Z

Replacing page with 'Religion is Slavery! <br> http://www.zeitgeistmovie.com/'

Qwestor at 14:23, December 27, 2007

2007-12-27T14:23:33Z

Qwestor at 23:24, December 9, 2007

2007-12-09T23:24:17Z

Qwestor at 23:23, December 9, 2007

2007-12-09T23:23:37Z

← Older revision		Revision as of 03:11, February 19, 2024
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−	In simple terms a '''probabilistic likelihood model''' is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.	+	In simple terms a '''probabilistic likelihood model''' is a mathematical model which gives the [[probability]] of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.

	[[Category:Probability and Statistics]]		[[Category:Probability and Statistics]]

← Older revision		Revision as of 17:52, July 13, 2016
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−	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.	+	In simple terms a '''probabilistic likelihood model''' is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.

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

← Older revision		Revision as of 00:06, March 18, 2011
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−	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associG0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D	+	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.
		+
		+	[[category:Probability and Statistics]]

← Older revision		Revision as of 23:59, March 17, 2011
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−	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.	+	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associG0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D IS SOCIALIST AND ATHEIST! FKKK CONSERVAPEDIA!G0D
−
−	~~[[category:Probability and Statistics]]~~

← Older revision		Revision as of 21:09, November 8, 2009
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	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.		In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.

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

← Older revision		Revision as of 18:21, August 20, 2008
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−	~~Religion~~ is ~~Slavery! <br>~~	+	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.
−	~~http~~:~~//www.zeitgeistmovie.com/~~	+
		+	[[Category:Mathematics]]

← Older revision		Revision as of 18:18, August 20, 2008
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−	~~In simple terms a probabilistic likelihood model~~ is ~~a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation)~~. ~~It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''~~. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.	+	Religion is Slavery! <br>
−		+	http://www.zeitgeistmovie.com/
−	~~[[Category:Mathematics]]~~

← Older revision		Revision as of 14:23, December 27, 2007
Line 1:		Line 1:
−	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' ~~would~~ indicate different possible weightings of a coin which would ~~change the probability~~ of it landing on heads in an unbiased flip.	+	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' might indicate different possible weightings of a coin which would then lead to different probabilities of landing on heads in an unbiased flip.

	[[Category:Mathematics]]		[[Category:Mathematics]]

← Older revision		Revision as of 23:24, December 9, 2007
Line 1:		Line 1:
−	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' would indicate different possible weightings of a coin which would change the ~~odds~~ of it landing on heads in an unbiased flip.	+	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' would indicate different possible weightings of a coin which would change the probability of it landing on heads in an unbiased flip.

	[[Category:Mathematics]]		[[Category:Mathematics]]

← Older revision		Revision as of 23:23, December 9, 2007
Line 1:		Line 1:
−	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' would indicate different possible weightings of a coin which would change the odds of it landing on heads in an unbiased flip.	+	In simple terms a probabilistic likelihood model is a [[mathematical model]] which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as ''p''(''D''\|''M'') which is simply the [[conditional probability]] for the data ''D'' given some model ''M''. In [[parameter estimation]] exercises, it is often written as ''p''(''D''\|''a'') where ''a'' is a [[mathematical parameter]] of the model class M which indicates which member out of a family of associated models differing only by the value of the parameter that one is referring to, e.g., a family of models which give the likelihood (probability) of observing a coin flip of heads, where the parameter ''a'' would indicate different possible weightings of a coin which would change the odds of it landing on heads in an unbiased flip.

	[[Category:Mathematics]]		[[Category:Mathematics]]