Isbn: 9786132829986 - de finetti's theorem: probability theory, exchangeable random variables, conditional independence, latent variable, bayesian probability, probability distribution (3 risultati)

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  • Lingua: Inglese

    Editore: Omniscriptum Mär 2026, 2026

    6132829989 / 9786132829986

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 100 pp. Englisch.

  • Lingua: Inglese

    Editore: Omniscriptum, 2010

    6132829989 / 9786132829986

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

    Editore: Omniscriptum Mär 2026, 2026

    6132829989 / 9786132829986

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

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    EUR 60,00 spedizione 
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    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.…