Kaeding Matthias (18 results)
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- Softcover
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Language: English
Published by Spektrum Akademischer Verlag Gmbh, 2015
Series: Book 5 of 91 - BestMasters
- Softcover
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Paperback. Condition: Brand New. 2015 edition. 120 pages. 8.25x6.00x0.25 inches. In Stock.
Language: English
Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden, 2015
Series: Book 5 of 91 - BestMasters
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects… by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model.
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Taschenbuch. Condition: Neu. Bayesian Analysis of Failure Time Data Using P-Splines | Matthias Kaeding | Taschenbuch | BestMasters | ix | Englisch | 2015 | Springer Fachmedien Wiesbaden | EAN 9783658083922 | Verantwortliche Person für die EU: Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Hei…delberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects… by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model.
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Language: English
Published by Springer Fachmedien Wiesbaden Jan 2015, 2015
Series: Book 5 of 91 - BestMasters
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement o…f linear effects by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model. 120 pp. Englisch.
- Softcover
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Condition: New. Print on Demand 110.
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Condition: New. PRINT ON DEMAND 110.
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Publication in the field of natural sciencesRelative Riskand Log-Location-Scale Family.- Bayesian P-Splines.- Discrete Time Models.- ContinuousTime Models.Matthias Kaeding discusses Bayesian methods for analyzing disc…rete and continuous failure t.
Language: English
Published by Springer Fachmedien Wiesbaden Jan 2015, 2015
Series: Book 5 of 91 - BestMasters
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of li…near effects by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch.
