6 citations · 6 across the 1 of their papers we have counts for
3 papers
stat.ML2020★ 6 cited
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Tamara Fernandez, Nicolas Rivera, Wenkai Xu +1
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…
stat.ME2019
A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
Tamara Fernandez, Nicolas Rivera
Weighted log-rank tests are arguably the most widely used tests by practitioners for the two-sample problem in the context of right-censored data. Many approaches have been conside…
stat.ME2018
A maximum-mean-discrepancy goodness-of-fit test for censored data
Tamara Fernández, Arthur Gretton
We introduce a kernel-based goodness-of-fit test for censored data, where observations may be missing in random time intervals: a common occurrence in clinical trials and industria…