Victor Panaretos
EPFL SB MATH SMAT
MA B1 503 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 25 97
+41 21 693 75 75
Office:
MA B1 503
EPFL › SB › MATH › SMAT
Website: https://smat.epfl.ch
+41 21 693 25 97
EPFL › SB › SB-SMA › SMA-ENS
Website: https://sma.epfl.ch/
+41 21 693 25 97
EPFL › VPA › VPA-FAC › ASC
+41 21 693 25 97
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDMA-GE
Website: https://go.epfl.ch/phd-edma
Curriculum vitae
Teaching & PhD
PhD Students
Francesco Bellotto, Nikitas Georgakis, Ulysse Naepels, Ho Yun
Past EPFL PhD Students
Marie-Hélène Descary (2017), Laya Ghodrati (2023), Andrea Kraus (2013), Mikael Kuusela (2016), Tomas Masák (2022), Valentina Masarotto (2019), Tomas Rubin (2021), Leonardo Santoro (2024), Shahin Tavakoli (2014), Kartik Waghmare (2023), Yoav Zemel (2017)
Past EPFL PhD Students as codirector
Sonia Alouini (2024), Ophelia Miralles (2023), Matthieu Simeoni (2020)
Courses
Functional data analysis
MATH-420
A rigorous introduction to the statistical analysis of random functions and random operators. Viewing random functions either as random Hilbert vectors or as stochastic processes, we explore the rich interplay between nonparametrics and multivariate statistics in infinite dimensions.
Linear models
MATH-341
Regression models are fundamental in statistics, because they describe how the law of a random variable of interest may depend on other variables. This course introduces students to the core theory and methods of linear statistical models.
Statistics
MATH-240
This course provides an introduction to the mathematical treatment of the theory of statistical inference using the concept of likelihood as a unifying theme.