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Jayanta K. Ghosh; Mohan Delampady; Tapas Samanta

Published by Springer (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer, 2006. Condition: Good. A+ Customer service! Satisfaction Guaranteed! Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Seller Inventory # 0387400842-2-4

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Jayanta K. Ghosh

Published by Springer (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer, 2006. Hardcover. Condition: Good. 2006. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 0387400842q

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Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta

Published by Springer-Verlag New York Inc., United States (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer-Verlag New York Inc., United States, 2006. Hardback. Condition: New. Language: English . Brand New Book. This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques. Many topics are at the cutting edge of statistical research. Solutions to common inference problems appear throughout the text along with discussion of what prior to choose. There is a discussion of elicitation of a subjective prior as well as the motivation, applicability, and limitations of objective priors. By way of important applications the book presents microarrays, nonparametric regression via wavelets as well as DMA mixtures of normals, and spatial analysis with illustrations using simulated and real data. Theoretical topics at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to geological mapping. The style is informal but clear. Asymptotics is used to supplement simulation or understand some aspects of the posterior. Seller Inventory # LIB9780387400846

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Ghosh, Jayanta K.

Published by Springer-Verlag New York Inc. (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer-Verlag New York Inc., 2006. HRD. Condition: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IP-9780387400846

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Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta

Published by Springer-Verlag New York Inc., United States (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer-Verlag New York Inc., United States, 2006. Hardback. Condition: New. Language: English . Brand New Book. This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques. Many topics are at the cutting edge of statistical research. Solutions to common inference problems appear throughout the text along with discussion of what prior to choose. There is a discussion of elicitation of a subjective prior as well as the motivation, applicability, and limitations of objective priors. By way of important applications the book presents microarrays, nonparametric regression via wavelets as well as DMA mixtures of normals, and spatial analysis with illustrations using simulated and real data. Theoretical topics at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to geological mapping. The style is informal but clear. Asymptotics is used to supplement simulation or understand some aspects of the posterior. Seller Inventory # LIB9780387400846

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Jayanta K. Ghosh; Mohan Delampady; Tapas Samanta

Published by Springer (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer, 2006. Hardcover. Condition: Used: Good. Seller Inventory # SONG0387400842

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Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta

Published by Springer New York 2006-07-01, New York (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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From: Blackwell's (Oxford, OX, United Kingdom)

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About this Item: Springer New York 2006-07-01, New York, 2006. hardback. Condition: New. Seller Inventory # 9780387400846

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Jayanta K. Ghosh,Mohan Delampady,Tapas Samanta

Published by Springer 2006-08-28 (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer 2006-08-28, 2006. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Seller Inventory # NU-LBR-00757766

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Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta

Published by Springer (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer, 2006. Hardcover. Condition: New. 2006. Seller Inventory # DADAX0387400842

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JAYANTA K. GHOSH

Published by Springer (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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From: Herb Tandree Philosophy Books (Stroud, GLOS, United Kingdom)

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About this Item: Springer, 2006. Hardback. Condition: NEW. 9780387400846 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0273509

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Ghosh, Jayanta K.

Published by Springer (2016)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer, 2016. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9780387400846_lsuk

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Jayanta K. Ghosh; Tapas Samanta; Mohan Delampady

Published by Springer (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer, 2006. Condition: New. Seller Inventory # L9780387400846

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Ghosh, Jayanta K.

Published by Springer (2018)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer, 2018. Hardcover. Condition: New. Never used! This item is printed on demand. Seller Inventory # 0387400842

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Jayanta K. Ghosh/ Mohan Delampady/ Tapas Samanta

Published by Springer Verlag (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer Verlag, 2006. Hardcover. Condition: Brand New. 1st edition. 352 pages. 9.25x6.50x0.75 inches. In Stock. Seller Inventory # __0387400842

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Jayanta K. Ghosh

Published by Springer-Verlag Gmbh Jul 2006 (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer-Verlag Gmbh Jul 2006, 2006. Buch. Condition: Neu. Neuware - This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing.Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques. Many topics are at the cutting edge of statistical research. Solutions to common inference problems appear throughout the text along with discussion of what prior to choose. There is a discussion of elicitation of a subjective prior as well as the motivation, applicability, and limitations of objective priors. By way of important applications the book presents microarrays, nonparametric regression via wavelets as well as DMA mixtures of normals, and spatial analysis with illustrations using simulated and real data. Theoretical topics at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to geological mapping. The style is informal but clear. Asymptotics is used to supplement simulation or understand some aspects of the posterior. 352 pp. Englisch. Seller Inventory # 9780387400846

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Jayanta K. Ghosh

Published by Springer-Verlag Gmbh Jul 2006 (2006)

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer-Verlag Gmbh Jul 2006, 2006. Buch. Condition: Neu. Neuware - This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing.Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques. Many topics are at the cutting edge of statistical research. Solutions to common inference problems appear throughout the text along with discussion of what prior to choose. There is a discussion of elicitation of a subjective prior as well as the motivation, applicability, and limitations of objective priors. By way of important applications the book presents microarrays, nonparametric regression via wavelets as well as DMA mixtures of normals, and spatial analysis with illustrations using simulated and real data. Theoretical topics at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to geological mapping. The style is informal but clear. Asymptotics is used to supplement simulation or understand some aspects of the posterior. 352 pp. Englisch. Seller Inventory # 9780387400846

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Ghosh, Jayanta K.

Published by Springer

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer. Condition: New. Hardcover. Worldwide shipping. FREE fast shipping inside USA (express 2-3 day delivery also available). Tracking service included. Ships from United States of America. Seller Inventory # 0387400842

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Ghosh, Jayanta K.; Delampady, Mohan; Samanta, Tapas

Published by Springer

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer. Hardcover. Condition: New. 0387400842 Special order direct from the distributor. Seller Inventory # ING9780387400846

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Jayanta K. Ghosh

Published by Springer

ISBN 10: 0387400842 ISBN 13: 9780387400846

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About this Item: Springer. Hardcover. Condition: New. 352 pages. Dimensions: 9.8in. x 6.4in. x 1.0in.This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques. Many topics are at the cutting edge of statistical research. Solutions to common inference problems appear throughout the text along with discussion of what prior to choose. There is a discussion of elicitation of a subjective prior as well as the motivation, applicability, and limitations of objective priors. By way of important applications the book presents microarrays, nonparametric regression via wavelets as well as DMA mixtures of normals, and spatial analysis with illustrations using simulated and real data. Theoretical topics at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to geological mapping. The style is informal but clear. Asymptotics is used to supplement simulation or understand some aspects of the posterior. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Seller Inventory # 9780387400846

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