Bayesian Analysis of Failure Time Data Using P-Splines

Name: Bayesian Analysis of Failure Time Data Using P-Splines
Brand: Springer Fachmedien Wiesbaden
SKU: 9783658083922
Price: 1147 CZK
Availability: InStock

Autor: Matthias Kaeding

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Fachmedien Wiesbaden

Dostupnost: Skladem u dodavatele

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Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times wher...

Informace o knize

Autor

Matthias Kaeding

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2014

Stránek

110

EAN

9783658083922

ISBN

3658083921

Enbook ID

09105930

Vydavatel

Springer Fachmedien Wiesbaden

Hmotnost

1657

Rozměry

148 x 7 x 7

Kompletní popis

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.

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Bayesian Analysis of Failure Time Data Using P-Splines

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