Conditional Independence Probability Distribution (3 results)

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  • Language: English

    Published by Omniscriptum, 2010

    6132647406 / 9786132647405

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In probabilitytheory, two events R and B are conditionally independent given a thirdevent G precisely if the occurrence or non-occurrence of R and B areindependent events in their conditional probability distribution givenG. In the standard notation of probability theory, Pr(R cap B mid G) =Pr(R mid G)Pr(B mid G).…

  • Language: English

    Published by OmniScriptum, 2026

    6132647406 / 9786132647405

    • Softcover
    • Print on Demand

    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. Conditional Independence | Probability Distribution, Statistical Independence, Probability Theory, Random Variable. | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786132647405 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

  • Language: English

    Published by Omniscriptum, 2010

    6132829989 / 9786132829986

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Condition: New

    £ 120.30

    £ 29.70 shipping 
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    Quantity: 1 available

    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In probabilitytheory, de Finetti's theorem explains why exchangeable observations areconditionally independent given some latent variable to which anepistemic probability distribution would then be assigned. It is namedin honor of Bruno de Finetti. It states that an exchangeable sequence ofBernoulli random variables is a 'mixture' of independent and identicallydistributed Bernoulli random variables - while the individual variablesof the exchangeable sequence are not themselves i.i.d., onlyexchangeable, there is an underlying family of i.i.d. random variables.…