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… mais…
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… mais…
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… mais…
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. Custos de envio:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., mais custos de envio
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… mais…
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. Custos de envio: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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Dados detalhados do livro - Bayesian Analysis of Failure Time Data Using P-Splines
EAN (ISBN-13): 9783658083939 Ano de publicação: 2014 Editor/Editora: Springer Fachmedien Wiesbaden GmbH
Livro na base de dados desde 2015-08-10T20:13:55-03:00 (Sao Paulo) Página de detalhes modificada pela última vez em 2023-08-22T10:38:02-03:00 (Sao Paulo) Número ISBN/EAN: 9783658083939
Número ISBN - Ortografia alternativa: 978-3-658-08393-9 Ortografia alternativa e termos de pesquisa relacionados: Autor do livro: kaeding, tao Título do livro: data, new bayesian, bayes, tim, time, failure analysis
Dados da editora
Autor: Matthias Kaeding Título: BestMasters; Bayesian Analysis of Failure Time Data Using P-Splines Editora: Springer Spektrum; Springer Fachmedien Wiesbaden GmbH 110 Páginas Ano de publicação: 2014-12-26 Wiesbaden; DE Impresso / Feito em Língua: Inglês 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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