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… Plus…
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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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… Plus…
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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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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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… Plus…
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. Frais d'envoiInstock, Despatched same working day before 3pm, zzgl. Versandkosten., Livraison non-comprise
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… Plus…
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. Frais d'envoiWorldwide free shipping, , DE. (EUR 0.00)
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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Informations détaillées sur le livre - Bayesian Analysis of Failure Time Data Using P-Splines
EAN (ISBN-13): 9783658083939 Date de parution: 2014 Editeur: Springer Fachmedien Wiesbaden GmbH
Livre dans la base de données depuis 2015-08-11T01:13:55+02:00 (Zurich) Page de détail modifiée en dernier sur 2023-08-22T15:38:02+02:00 (Zurich) ISBN/EAN: 9783658083939
ISBN - Autres types d'écriture: 978-3-658-08393-9 Autres types d'écriture et termes associés: Auteur du livre: kaeding, tao Titre du livre: data, new bayesian, bayes, tim, time, failure analysis
Données de l'éditeur
Auteur: Matthias Kaeding Titre: BestMasters; Bayesian Analysis of Failure Time Data Using P-Splines Editeur: Springer Spektrum; Springer Fachmedien Wiesbaden GmbH 110 Pages Date de parution: 2014-12-26 Wiesbaden; DE Imprimé / Fabriqué en Langue: Anglais 53,49 € (DE) 55,00 € (AT) 59,00 CHF (CH) Available IX, 110 p. 23 illus.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Bayesian Statistics; Cox Modell; Failure Time Analysis; Gibbs Sampler; IWLS Proposals; C; Probability Theory and Stochastic Processes; Laboratory Medicine; Bioinformatics; Probability Theory; Biomedical Research; Bioinformatics; Behavioral Science and Psychology; Stochastik; Medizinische Forschung; DV-gestützte Biologie/Bioinformatik; BC
Matthias Kaeding obtained his Master of Science degree at the University of Bamberg in Survey Statistics.
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