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Found 4 papers, 2 papers with code
Composite Goodness-of-fit Tests with Kernels
Model misspecification can create significant challenges for the implementation of probabilistic models, and this has led to development of a range of robust methods which directly account for this issue.
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Survival Analysis and Reliability Theory are concerned with the analysis of time-to-event data, in which observations correspond to waiting times until an event of interest such as death from a particular disease or failure of a component in a mechanical system.
A kernel log-rank test of independence for right-censored data
We introduce a general non-parametric independence test between right-censored survival times and covariates, which may be multivariate.
A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
We finalise by performing an empirical evaluation of the proposed methodology and show an application to a real data scenario.
