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Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
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Language: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
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Language: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
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Published by Cambridge University Press, 2017
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Published by Murphy & Moore Publishing, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Published by Murphy and Moore Publishing, US, 2022
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Published by Murphy & Moore Publishing, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Published by Murphy & Moore Publishing, 2022
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Published by Cambridge University Press, 2017
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Published by Cambridge University Press CUP, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
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Published by Murphy and Moore Publishing, US, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Published by Murphy & Moore Publishing, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
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Condition: New. Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 656 pages, 15 b/w illus. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177. . . 2017. Hardcover. . . . . Books ship from the US and Ireland.
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Published by Murphy and Moore Publishing, US, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Add to basketCondition: New. Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 656 pages, 15 b/w illus. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177. . . 2017. Hardcover. . . . .
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Language: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
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Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
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Language: English
Published by Murphy & Moore Publishing, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextThe branch of statistical inference which employs the principles of Bayes theorem for updating the probability for a hypothesis is known as Bayesian inference. Various techniques and methods studied under this discipline incl.
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Published by Murphy & Moore Publishing, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Published by Murphy & Moore Publishing, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Buch. Condition: Neu. Bayesian Inference | Statistical and Probabilistic Mathematics | Arthur Gray | Buch | Gebunden | Englisch | 2022 | Murphy & Moore Publishing | EAN 9781639870707 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Murphy & Moore Publishing, 2022
ISBN 10: 1639870709 ISBN 13: 9781639870707
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The branch of statistical inference which employs the principles of Bayes' theorem for updating the probability for a hypothesis is known as Bayesian inference. Various techniques and methods studied under this discipline include Markov chains, Monte Carlo methods, Bayesian estimation, hierarchical models, decision theory and hypothesis testing. Bayesian inference finds extensive applications across various fields such as artificial intelligence, e-mail security, gene analysis and jurimetrics. Its is also used in the areas related to phylogeny, methylation analysis, chemical kinetics and stock market predictions. There has been rapid progress in this field and its applications are finding their way across multiple industries. From theories to research to practical applications, case studies related to all contemporary topics of relevance to this field have been included in this book. It aims to equip students and experts with the advanced topics and upcoming concepts in this area.