Titlebook: Bayesian Analysis of Failure Time Data Using P-Splines; Matthias Kaeding Book 2015 Springer Fachmedien Wiesbaden 2015 Bayesian Statistics.

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Biological Evolution and Systems Theory, after 15 days would be coded 1, return after 16 days until the 15th of the following month would be coded 2. The month of release in addition to the month of return to prison are available, so the exact interval in which return to prison occured can be reconstructed.

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2625-3577 rete 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

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https://doi.org/10.1007/978-1-4612-6148-3 using the basic sampling scheme for the Gaussian likelihood. (2) Sampling schemes using IWLS proposals when full conditionals are not conditional conjugate. It turned out that with these samplers a broad range of models can be estimated with relative ease.