Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, de Finetti''s theorem explains why exchangeable observations are conditionally independent given some latent variable to which an epistemic probability distribution would then be assigned. It is named in honor of Bruno de Finetti. It states that an exchangeable sequence of Bernoulli random variables is a mixture" of independent and identically distributed Bernoulli random variables – while the individual variables of the exchangeable sequence are not themselves i.i.d., only exchangeable, there is an underlying family of i.i.d. random variables."
"synopsis" may belong to another edition of this title.
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, de Finetti''s theorem explains why exchangeable observations are conditionally independent given some latent variable to which an epistemic probability distribution would then be assigned. It is named in honor of Bruno de Finetti. It states that an exchangeable sequence of Bernoulli random variables is a mixture" of independent and identically distributed Bernoulli random variables – while the individual variables of the exchangeable sequence are not themselves i.i.d., only exchangeable, there is an underlying family of i.i.d. random variables."
"About this title" may belong to another edition of this title.
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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, 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. Seller Inventory # 9786132829986
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Taschenbuch. Condition: 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. Seller Inventory # 9786132829986
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