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08/31/2022
A general framework for the analysis of kernel-based tests
Kernel-based tests provide a simple yet effective framework that use the...
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06/15/2022
A Multiple kernel testing procedure for non-proportional hazards in factorial designs
In this paper we propose a Multiple kernel testing procedure to infer su...
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11/19/2021
Composite Goodness-of-fit Tests with Kernels
Model misspecification can create significant challenges for the impleme...
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11/17/2020
A kernel test for quasi-independence
We consider settings in which the data of interest correspond to pairs o...
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08/19/2020
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Survival Analysis and Reliability Theory are concerned with the analysis...
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12/08/2019
A kernel log-rank test of independence for right-censored data
With the incorporation of new data gathering methods in clinical researc...
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04/10/2019
A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
Weighted log-rank tests are arguably the most widely used tests by pract...
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10/11/2018
Kaplan-Meier V and U-statistics
In this paper we study Kaplan-Meier V and U-statistics defined as θ(F̂_n...
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10/09/2018
A maximum-mean-discrepancy goodness-of-fit test for censored data
We introduce a kernel-based goodness-of-fit test for censored data, wher...
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11/02/2016
