Latent diffusion models for survival analysis
arXiv:1010.1688 · doi:10.3150/09-BEJ217
Abstract
We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate. We show how these models can be efficiently treated by means of Markov chain Monte Carlo techniques.
Published in at http://dx.doi.org/10.3150/09-BEJ217 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)