Tomas Rubin
EPFL SB MATH SMAT
MA B1 493 (Bâtiment MA)
Station 8
CH-1015 Lausanne
Research Interests
Functional Data Analysis (FDA)
Statistical Inference of Stochastic Processes & Time-series
Non-parametric Statistics
Quantitative finance
Awards and Honours
2nd place in Competition for the Best Student Paper in Theoretical Economics
(2016)
1st place in international student scientific competition "SVOC" (2016)
Best Bachelor’s thesis in Mathematics at Charles University in Prague (2013)
1st place in international student scientific competition "SVOC" (2013)
Education
| PhD | Statistics | EPFL | 2016- |
| Master | Probability Theory | Charles University in Prague | 2013-2016 |
| Bachelor | General Mathematics | Charles University in Prague | 2010-2013 |
Publications
Papers
Rubín, T. & Panaretos, V. M. (2019). Functional Lagged Regression with Sparse Noisy Observations. arXiv:1905.07218.Rubín, T. & Panaretos V. M. (2018). Sparsely Observed Functional Time Series: Estimation and Prediction. arXiv:1811.06340.