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… Más…
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… Más…
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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(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
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… Más…
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. Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., más gastos de envío
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… Más…
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. Gastos de envío:Worldwide 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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Detalles del libro - Bayesian Analysis of Failure Time Data Using P-Splines
EAN (ISBN-13): 9783658083939 Año de publicación: 2014 Editorial: Springer Fachmedien Wiesbaden GmbH
Libro en la base de datos desde 2015-08-10T18:13:55-05:00 (Mexico City) Página de detalles modificada por última vez el 2023-08-22T07:38:02-06:00 (Mexico City) ISBN/EAN: 9783658083939
ISBN - escritura alterna: 978-3-658-08393-9 Mode alterno de escritura y términos de búsqueda relacionados: Autor del libro: kaeding, tao Título del libro: data, new bayesian, bayes, tim, time, failure analysis
Datos del la editorial
Autor: Matthias Kaeding Título: BestMasters; Bayesian Analysis of Failure Time Data Using P-Splines Editorial: Springer Spektrum; Springer Fachmedien Wiesbaden GmbH 110 Páginas Año de publicación: 2014-12-26 Wiesbaden; DE Impreso en Idioma: Inglés 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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