| Gaussian processes for survival analysis T Fernández, N Rivera, YW Teh Advances in Neural Information Processing Systems 29, 5021-5029, 2016 | 86 | 2016 |
| Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data T Fernandez, N Rivera, W Xu, A Gretton International Conference on Machine Learning, 3112-3122, 2020 | 15 | 2020 |
| A maximum-mean-discrepancy goodness-of-fit test for censored data T Fernández, A Gretton The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 12 | 2019 |
| Composite goodness-of-fit tests with kernels O Key, T Fernandez, A Gretton, FX Briol arXiv preprint arXiv:2111.10275, 2021 | 10 | 2021 |
| A reproducing kernel Hilbert space log‐rank test for the two‐sample problem T Fernández, N Rivera Scandinavian Journal of Statistics 48 (4), 1384-1432, 2021 | 8 | 2021 |
| A kernel log-rank test of independence for right-censored data T Fernández, A Gretton, D Rindt, D Sejdinovic Journal of the American Statistical Association, 1-12, 2021 | 8 | 2021 |
| Kaplan-Meier V-and U-statistics T Fernández, N Rivera Electronic Journal of Statistics 14 (1), 1872-1916, 2020 | 8 | 2020 |
| Posterior Consistency for a Non-parametric Survival Model under a Gaussian Process Prior T Fernández, YW Teh arXiv preprint arXiv:1611.02335, 2016 | 4 | 2016 |
| A general framework for the analysis of kernel-based tests T Fernández, N Rivera arXiv preprint arXiv:2209.00124, 2022 | 3 | 2022 |
| A kernel test for quasi-independence T Fernández, W Xu, M Ditzhaus, A Gretton Advances in Neural Information Processing Systems 33, 15326-15337, 2020 | 3 | 2020 |
| A Multiple kernel testing procedure for non-proportional hazards in factorial designs M Ditzhaus, T Fernández, N Rivera arXiv preprint arXiv:2206.07239, 2022 | 1 | 2022 |
Nicolás RiveraUniversidad de ValparaísoVerified email at uv.cl
