3 citations · 6 across the 4 of their papers we have counts for
5 papers
A general framework for the analysis of kernel-based tests
Tamara Fernández, Nicolás Rivera
Kernel-based tests provide a simple yet effective framework that use the theory of reproducing kernel Hilbert spaces to design non-parametric testing procedures. In this paper we p…
A Multiple kernel testing procedure for non-proportional hazards in factorial designs
Marc Ditzhaus, Tamara Fernández, Nicolás Rivera
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 intera…
A kernel test for quasi-independence
Tamara Fernández, Wenkai Xu, Marc Ditzhaus +1
We consider settings in which the data of interest correspond to pairs of ordered times, e.g, the birth times of the first and second child, the times at which a new user creates a…
Kaplan-Meier V- and U-statistics
Tamara Fernández, Nicolás Rivera
In this paper, we study Kaplan-Meier V- and U-statistics respectively defined as and $θ_U(\widehat{F}_n)=\sum_{i\neq j}K(X…
Posterior Consistency for a Non-parametric Survival Model under a Gaussian Process Prior
Tamara Fernández, Yee Whye Teh
In this paper, we prove almost surely consistency of a Survival Analysis model, which puts a Gaussian process, mapped to the unit interval, as a prior on the so-called hazard funct…