Geoadditive Survival Models

146 citations recorded by the source corpus.

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Propriety of posteriors in structured additive regression models: Theory and empirical evidence (2009, methodology): “Key words: Bayesian semiparametric regression, Markov random fields, MCMC, penalised splines, propriety of posteriors”
A Mixed Model Approach for Geoadditive Hazard Regression (2007, methodology): “To gain deeper insight in the statistical properties of the presented mixed model approach, especially compared with the fully Bayesian alternative of Hennerfeind et al. (2006), we performed a simulation study.”
Bayesian semi parametric multi-state models (2008, methodology): “Both inferential procedures borrow from approaches that have been recently developed for continuous time survival models (compare Kneib and Fahrmeir (2007) for the empirical Bayes version and Hennerfeind et al.”
A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data (2017, methodology): “Several authors have used this approach including Kneib (2006), Hennerfeind, Brezger, and Fahrmeir (2006), and Kneib and Fahrmeir (2007).”
Generalized structured additive regression based on Bayesian P-splines (2006, methodology): “For example Hennerfeind, Brezger and Fahrmeir (2003) build on the inference techniques of this paper for developing geoadditive survival models.”