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Dirichlet Process: Probability theory, Stochastic process, Probability distribution, Support (mathematics), Discrete probability distribution - Couverture souple
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, a Dirichlet process is a stochastic process that can be thought of as a probability distribution whose domain is itself a random distribution. That is, given a Dirichlet process , where M (the base distribution) is an arbitrary distribution and ¿ (the concentration parameter) is a positive real number, a draw from will return a random distribution (the output distribution) containing values drawn from M. That is, the support of the output distribution is the same as the base distribution. The output distribution will be discrete, meaning that individual values drawn from the distribution will sometimes repeat themselves even if the base distribution is continuous (i.e. two different draws from the base distribution will be distinct with probability one).
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Dirichlet Process
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch. N° de réf. du vendeur 9786133822825
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Dirichlet Process : Probability theory, Stochastic process, Probability distribution, Support (mathematics), Discrete probability distribution
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Taschenbuch. Etat : 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, a Dirichlet process is a stochastic process that can be thoughtof as a probability distribution whose domain is itself a randomdistribution. That is, given a Dirichlet process , where M (the basedistribution) is an arbitrary distribution and ¿ (the concentrationparameter) is a positive real number, a draw from will return a randomdistribution (the output distribution) containing values drawn from M.That is, the support of the output distribution is the same as the basedistribution. The output distribution will be discrete, meaning thatindividual values drawn from the distribution will sometimes repeatthemselves even if the base distribution is continuous (i.e. twodifferent draws from the base distribution will be distinct withprobability one). N° de réf. du vendeur 9786133822825
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Dirichlet Process
impression à la demandeVendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : 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, a Dirichlet process is a stochastic process that can be thoughtof as a probability distribution whose domain is itself a randomdistribution. That is, given a Dirichlet process , where M (the basedistribution) is an arbitrary distribution and ¿ (the concentrationparameter) is a positive real number, a draw from will return a randomdistribution (the output distribution) containing values drawn from M.That is, the support of the output distribution is the same as the basedistribution. The output distribution will be discrete, meaning thatindividual values drawn from the distribution will sometimes repeatthemselves even if the base distribution is continuous (i.e. twodifferent draws from the base distribution will be distinct withprobability one).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9786133822825
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