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bayesian

Bayes·i·an
B b

Transcription

    • US Pronunciation
    • US IPA
    • UK Pronunciation
    • UK IPA
    • [bey-zee-uh n, -zhuh n]
    • /ˈbeɪ zi ən, -ʒən/
    • /beɪˈiːziən/
    • US Pronunciation
    • US IPA
    • [bey-zee-uh n, -zhuh n]
    • /ˈbeɪ zi ən, -ʒən/

Definitions of bayesian word

  • adjective bayesian (of a theory) presupposing known a priori probabilities which may be subjectively assessed and which can be revised in the light of experience in accordance with Bayes' theorem. A hypothesis is thus confirmed by an experimental observation which is likely given the hypothesis and unlikely without it 3
  • adjective bayesian of or relating to statistical methods that regard parameters of a population as random variables having known probability distributions. 1
  • noun bayesian Alternative case form of Bayesian. 1
  • adjective bayesian Alternative letter-case form of Bayesian. 0
See all 4 definitions of bayesian

Information block about the term

Origin of bayesian

First appearance:

before 1960
One of the 3% newest English words
1960-65; Thomas Bayes (1702-61), English mathematician + -ian

Historical Comparancy

Parts of speech for Bayesian

noun
adjective
verb
adverb
pronoun
preposition
conjunction
determiner
exclamation
Full grammatical hierarchy of Bayesian

bayesian popularity

A common word. It’s meaning is known to most children of preschool age. About 75% of English native speakers know the meaning and use the word.
Most Europeans know this English word. The frequency of it’s usage is somewhere between "mom" and "screwdriver".

bayesian usage trend in Literature

This diagram is provided by Google Ngram Viewer

Top questions with bayesian

  • what is bayesian statistics?
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  • what is bayesian classification in data mining?
  • what is bayesian probability?
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  • what is bayesian network in artificial intelligence?
  • what is bayesian network?

Related words

  • bayes' theorem

    the fundamental result which expresses the conditional probability P(E/A) of an event E given an event A as P(A/E).P(E)/P(A); more generally, where En is one of a set of values Ei which partition the sample space, P(En/A) = P(A/En)P(En)/Σ P(A/Ei)P(Ei). This enables prior estimates of probability to be continually revised in the light of observations
All related words to bayesian

See also

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