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EBOOK
Author Calvetti, Daniela.
Title Introduction to Bayesian scientific computing : ten lectures on subjective computing / Daniela Cavetti, Erkki Somersalo.
Imprint New York : Springer Science+Business Media, 2007.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Calvetti, Daniela.
Series Surveys and tutorials in the applied mathematical sciences ; v. 2.
Surveys and tutorials in the applied mathematical sciences ; 2.
Subject Mathematical statistics.
Inverse problems (Differential equations)
Bayesian statistical decision theory.
Alt Name Somersalo, Erkki.
Add Title Bayesian scientific computing : ten lectures on subjective computing
Ten lectures on subjective computing
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Calvetti, Daniela.
Series Surveys and tutorials in the applied mathematical sciences ; v. 2.
Surveys and tutorials in the applied mathematical sciences ; 2.
Subject Mathematical statistics.
Inverse problems (Differential equations)
Bayesian statistical decision theory.
Alt Name Somersalo, Erkki.
Add Title Bayesian scientific computing : ten lectures on subjective computing
Ten lectures on subjective computing
Description 1 online resource (xiv, 202 pages) : illustrations.
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Summary "A combination of the concepts subjective - or Bayesian - statistics and scientific computing, the book provides an integrated view across numerical linear algebra and computational statistics. Inverse problems act as the bridge between these two fields where the goal is to estimate an unknown parameter that is not directly observable by using measured data and a mathematical model linking the observed and the unknown."--Jacket.
Note Print version record.
Contents Inverse problems and subjective computing -- Basic problem of statistical inference -- The praise of ignorance: randomness as lack of information -- Basic problem in numerical linear algebra -- Sampling: first encounter -- Statistically inspired preconditioners -- Conditional Gaussian densities and predictive envelopes -- More applications of the Gaussian conditioning -- Sampling: the real thing -- Wrapping up: hypermodels, dynamic priorconditioners and Bayesian learning.
ISBN 9780387733944
0387733949
9780387733937
0387733930
ISBN/ISSN 10.1007/978-0-387-73394-4
OCLC # 261225524
Link Springer e-books.
Additional Format Print version: Calvetti, Daniela. Introduction to Bayesian scientific computing. New York : Springer Science+Business Media, 2007 9780387733937 0387733930 (DLC) 2007936617 (OCoLC)192078847.


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