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Anglický jazyk
Bayesian Analysis of Failure Time Data Using P-Splines
Autor: Matthias Kaeding
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... Viac o knihe
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O knihe
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.
- Vydavateľstvo: Springer Vieweg
- Rok vydania: 2015
- Formát: Paperback
- Rozmer: 210 x 148 mm
- Jazyk: Anglický jazyk
- ISBN: 9783658083922
