Tamara Fernandez

About me

From October 2020, I am an Assistant professor at the Faculty of Engineering and Science of Adolfo Ibañez University (Viña del Mar, Chile). Previously, I was a Postdoctoral research associate at the Gatsby Unit, working with Arthur Gretton. I joined the Gatsby Unit in 2018 as a Biometrika Postdoctoral Fellow. In 2018, I obtained my DPhil in Statistics at the University of Oxford, under the supervision of Yee Whye Teh. My research interests concern theory, methodology and applications of kernel methods.

Research Interests

• Non-parametric methods,
• Kernel methods,
• Survival analysis, and
• Bayesian statistics

Contact me

• t.a.fernandez at uai dot cl
• t.a.fernandez.aguilar at gmail dot com

News & Preprints

• A general framework for the analysis of kernel-based tests with Nicolas Rivera, 2022. (link to preprint).
• A Multiple kernel testing procedure for non-proportional hazards in factorial designs. with Marc Ditzhaus and Nicolas Rivera, 2022 (link to preprint).
• Composite goodness-of-fit tests with kernels. with Oscar Key, FX Briol and Arthur Gretton, 2022 (link to preprint).

Publications

Conferences:

1. A kernel test for quasi-independence. with Wenkai Xu, Marc Ditzhaus and Arthur Gretton. Spotlight Neurips 2020 (link to paper).
2. Kernelized Stein discrepancy tests of goodness-of-fit for time-to-event data. with Wenkai Xu, Nicolas Rivera and Arthur Gretton. ICML 2020. (link to paper)
3. A maximum-mean-discrepancy goodness-of-fit test for censored data. with Arthur Gretton. AISTATS 2019. (link to paper)
4. Gaussian Processes for Survival Analysis. with Nicolas Rivera and Yee Whye Teh. Neurips 2016. (link to paper)

Journals:

1. A kernel log-rank test of independence for right censored data. with Arthur Gretton, David Rindt and Dino Sejdinovic (2020). Journal of the American Statistical Association, 1-12, 2021. (link to paper)

2. A reproducing kernel Hilbert space log-rank test for the two-sample problem. with Nicolas Rivera. Scandinavian Journal of Statistics 48 (4), 1384-1432, 2020. (link to paper)

3. Kaplan Meier V- and U-statistics. with Nicolas Rivera. Electronic Journal of Statistics, 14(1):1872–1916, 2020. (link to paper)

Technical Reports:

1. Posterior consistency for a non-parametric survival model under a Gaussian process prior. with Yee Whye Teh 2017. (link to report)