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… Meer...
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… Meer...
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… Meer...
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. Verzendingskosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., exclusief verzendingskosten
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… Meer...
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. Verzendingskosten: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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Bibliografische gegevens van het best passende boek
Boek bevindt zich in het datenbestand sinds 2015-08-11T01:13:55+02:00 (Amsterdam) Detailpagina laatst gewijzigd op 2023-08-22T15:38:02+02:00 (Amsterdam) ISBN/EAN: 9783658083939
ISBN - alternatieve schrijfwijzen: 978-3-658-08393-9 alternatieve schrijfwijzen en verwante zoekwoorden: Auteur van het boek: kaeding, tao Titel van het boek: data, new bayesian, bayes, tim, time, failure analysis
Gegevens van de uitgever
Auteur: Matthias Kaeding Titel: BestMasters; Bayesian Analysis of Failure Time Data Using P-Splines Uitgeverij: Springer Spektrum; Springer Fachmedien Wiesbaden GmbH 110 Bladzijden Verschijningsjaar: 2014-12-26 Wiesbaden; DE Gedrukt / Gemaakt in Taal: Engels 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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