Ji-Tao Wang: Bayesian Analysis of Failure Time Data Using P-Splines - neues Buch
ISBN: 9783658083939
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 fu… Mehr…
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.; PDF; Scientific, Technical and Medical > Medicine: general issues > Medical equipment & techniques > Medi, Springer Berlin Heidelberg<
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Bayesian Analysis of Failure Time Data Using P-Splines - neues Buch
ISBN: 9783658083939
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 fu… Mehr…
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., Springer Spektrum<
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Matthias Kaeding: Bayesian Analysis of Failure Time Data Using P-Splines - neues Buch
ISBN: 9783658083939
Bayesian Analysis of Failure Time Data Using P-Splines: ab 53.49 € eBooks > Fachthemen & Wissenschaft > Wissenschaften allgemein Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
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Bayesian Analysis of Failure Time Data Using P-Splines - neues Buch
ISBN: 9783658083939
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 fu… Mehr…
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.; PDF; Scientific, Technical and Medical > Medicine: general issues > Medical equipment & techniques > Medi, Springer Berlin Heidelberg<
No. 9783658083939. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
Bayesian Analysis of Failure Time Data Using P-Splines - neues Buch
ISBN: 9783658083939
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 fu… Mehr…
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., Springer Spektrum<
Nr. 978-3-658-08393-9. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
Matthias Kaeding: Bayesian Analysis of Failure Time Data Using P-Splines - neues Buch
ISBN: 9783658083939
Bayesian Analysis of Failure Time Data Using P-Splines: ab 53.49 € eBooks > Fachthemen & Wissenschaft > Wissenschaften allgemein Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
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Buch in der Datenbank seit 2015-08-11T01:13:55+02:00 (Berlin) Detailseite zuletzt geändert am 2023-08-22T15:38:02+02:00 (Berlin) ISBN/EAN: 9783658083939
ISBN - alternative Schreibweisen: 978-3-658-08393-9 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: kaeding, tao Titel des Buches: data, new bayesian, bayes, tim, time, failure analysis
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