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![Stock image for Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall 2018 (Lecture Notes in Mathematics, Band 2259) [Paperback] Mengersen, Kerrie L.; Pudlo, Pierre and Robert, Christian P. for sale by SpringBooks](https://pictures.abebooks.com/isbn/9783030425524-us-300.jpg)
Softcover. Condition: As New. 1. Auflage. from Germany, will be dispatched immediately.
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Case Studies in Applied Bayesian Data Science. CIRM Jean-Morlet Chair Fall 2018.
Language: English
Published by Cham, Springer International Publishing, 2020
ISBN 10: 3030425525 ISBN 13: 9783030425524
Softcover. 1st ed. 2020. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-03578 9783030425524 Sprache: Englisch Gewicht in Gramm: 550.
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Condition: New. Print on Demand.
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Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall 2018 (Lecture Notes in Mathematics, 2259)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.73
US$ 16.15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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US$ 132.44
US$ 16.85 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 428 pages. 9.25x6.10x1.01 inches. In Stock.
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Taschenbuch. Condition: Neu. Case Studies in Applied Bayesian Data Science | CIRM Jean-Morlet Chair, Fall 2018 | Kerrie L. Mengersen (u. a.) | Taschenbuch | vi | Englisch | 2020 | Springer | EAN 9783030425524 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018
Language: English
Published by Springer, Berlin, Springer, 2020
ISBN 10: 3030425525 ISBN 13: 9783030425524
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor. The field of Bayesian statistics has exploded over the past thirty years and is now an established field of research in mathematical statistics and computer science, a key component of data science, and an underpinning methodology in many domains of science, business and social science. Moreover, while remaining naturally entwined, the three arms of Bayesian statistics, namely modelling, computation and inference, have grown into independent research fields. While the research arms of Bayesian statistics continue to grow in many directions, they are harnessed when attention turns to solving substantive applied problems. Each such problem set has its own challenges and hence draws from the suite of research a bespoke solution.The book will be useful for both theoretical and applied statisticians, as well as practitioners, to inspect these solutions in the context of the problems, in order to draw further understanding, awareness and inspiration.
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Condition: new. Questo è un articolo print on demand.
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Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Case Studies in Applied Bayesian Data Science
Language: English
Published by Springer, Berlin, Springer International Publishing, Société Mathématique De France, Springer Mai 2020, 2020
ISBN 10: 3030425525 ISBN 13: 9783030425524
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor. The field of Bayesian statistics has exploded over the past thirty years and is now an established field of research in mathematical statistics and computer science, a key component of data science, and an underpinning methodology in many domains of science, business and social science. Moreover, while remaining naturally entwined, the three arms of Bayesian statistics, namely modelling, computation and inference, have grown into independent research fields. While the research arms of Bayesian statistics continue to grow in many directions, they are harnessed when attention turns to solving substantive applied problems. Each such problem set has its own challenges and hence draws from the suite of research a bespoke solution.The book will be useful for both theoretical and applied statisticians, as well as practitioners, to inspect these solutions in the context of the problems, in order to draw further understanding, awareness and inspiration. 420 pp. Englisch.
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US$ 122.56
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Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand pp. 475.
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Case Studies in Applied Bayesian Data Science
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030425525 ISBN 13: 9783030425524
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a survey of state of the art aspects of applied Bayesian data sciencePresents real-world case studies in applied Bayesian data science in the fields of health and ecologyIntroduces new methodologies Presenting a.
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Condition: New. PRINT ON DEMAND pp. 475.
