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An Introduction to Bayesian Inference, Methods and Computation.
Published by Cham, Springer International Publishing, 2021
ISBN 10: 3030828077 ISBN 13: 9783030828073
Language: English
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Add to basketHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05421 9783030828073 Sprache: Englisch Gewicht in Gramm: 550.
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An Introduction to Bayesian Inference, Methods and Computation.
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Add to basketXII, 169 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
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An Introduction to Bayesian Inference, Methods and Computation
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An Introduction to Bayesian Inference, Methods and Computation
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An Introduction to Bayesian Inference, Methods and Computation
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
US$ 86.34
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
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Add to basketpaperback. Condition: New. 1st ed. 2021. Special order direct from the distributor.
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Introduction to Bayesian Inference, Methods and Computation
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An Introduction to Bayesian Inference, Methods and Computation
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Introduction to Bayesian Inference, Methods and Computation
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Add to basketPaperback. Condition: Brand New. 181 pages. 9.25x6.10x0.71 inches. In Stock.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
US$ 86.37
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Add to basketCondition: New. These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synony.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030828077 ISBN 13: 9783030828073
Language: English
US$ 123.34
Convert currencyUS$ 33.84 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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US$ 177.53
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Add to basketHardcover. Condition: Brand New. 169 pages. 9.75x6.50x0.50 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 181 pages. 9.25x6.10x0.71 inches. In Stock. This item is printed on demand.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer Nature Switzerland Okt 2022, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 86.34
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches. 184 pp. Englisch.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer International Publishing Okt 2021, 2021
ISBN 10: 3030828077 ISBN 13: 9783030828073
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 123.34
Convert currencyUS$ 25.74 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches. 184 pp. Englisch.
