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A general framework for the analysis of kernel-based tests
Kernel-based tests provide a simple yet effective framework that use the theory of reproducing kernel Hilbert spaces to design non-parametric testing procedures.
A Multiple kernel testing procedure for non-proportional hazards in factorial designs
In this paper we propose a Multiple kernel testing procedure to infer survival data when several factors (e. g. different treatment groups, gender, medical history) and their interaction are of interest simultaneously.
Gaussian Processes for Survival Analysis
We introduce a semi-parametric Bayesian model for survival analysis.
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