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What do you mean by Bayes' theorem ?

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High school Mathematics teacher with 7 years of teaching experience

Bayes' Theorem is a simple mathematical formula used for calculating conditional probabilities. The probability of H conditional on E is defined as PE(H) = P(H & E)/P(E), provided that both terms of this ratio exist and P(E) > 0.[
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Baye's theorem is one kind of conditional probability, see NCERT Class XII in probability lesson you can find.
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Bayes' Theorem is a theorem of probability theory originally stated by the Thomas Bayes. It can be seen as a way of understanding how the probability that a theory is true is affected by a new piece of evidence. It has been used in a wide variety of contexts, ranging from marine biology to the development...
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Bayes' Theorem is a theorem of probability theory originally stated by the Thomas Bayes. It can be seen as a way of understanding how the probability that a theory is true is affected by a new piece of evidence. It has been used in a wide variety of contexts, ranging from marine biology to the development of "Bayesian" spam blockers for email systems. It obeys the likelihood principle. If two distinct sampling designs yield proportional likelihood functions for , then all inferences about should be identical from these two designs. Classical inference does not in general obey the likelihood principle. It provides interpretable answers, such as “the true parameter has a probability of 0.95 of falling in a 95% credible interval.” read less
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Bayes' theorem is stated mathematically as the following equation: P(A|B) = {P(B | A)\, P(A)}{P(B)},
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Home tution for maths and science ( class 8 to 12 ) CBSE ,ICSE Bords only

Bayes' theorem is stated mathematically as the following equation: P(A|B) = \frac{P(B | A)\, P(A)}{P(B)}, where A and B are events. P(A) and P(B) are the probabilities of A and B independent of each other. P(A|B), a conditional probability, is the probability of A given that B is...
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Bayes' theorem is stated mathematically as the following equation:[6] P(A|B) = \frac{P(B | A)\, P(A)}{P(B)}, where A and B are events. P(A) and P(B) are the probabilities of A and B independent of each other. P(A|B), a conditional probability, is the probability of A given that B is true. P(B|A), is the probability of B given that A is true. read less
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It is a way of understanding how the probability that a theory is true is affected by a new piece of evidence.
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Top rated IIT JEE Maths Tutor (15 years Experience)

Bayesian probability is used for predictive problems.For example grass in a lawn is wet.There are two known (Priori) causes for it. 1. Rain 2.Sprinkling We know the probability of rain on a given day and also probability of sprinkling on a given day. The posterior event will "be the grass is wet".Now...
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Bayesian probability is used for predictive problems.For example grass in a lawn is wet.There are two known (Priori) causes for it. 1. Rain 2.Sprinkling We know the probability of rain on a given day and also probability of sprinkling on a given day. The posterior event will "be the grass is wet".Now bayes law does the opposite.Suppose it is given that grass is wet , what is th probability that rain had occurred. read less
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A formula for determining conditional probability named after 18th-century British mathematician Thomas Bayes. The theorem provides a way to revise existing predictions or theories given new or additional evidence. In finance, Bayes' Theorem can be used to rate the risk of lending money to potential...
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A formula for determining conditional probability named after 18th-century British mathematician Thomas Bayes. The theorem provides a way to revise existing predictions or theories given new or additional evidence. In finance, Bayes' Theorem can be used to rate the risk of lending money to potential borrowers. The formula is as follows: Also called "Bayes' Rule." read less
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The theorem provides a way to revise existing predictions or theories given new or additional evidence. In finance, Bayes' Theorem can be used to rate the risk of lending money to potential borrowers.
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Mathematics for JEE Mains/Advanced, XI & XII (All Boards)

A way to revise existing predictions or theories given new or additional evidence.
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