Victor Panaretos

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Full Professor

victor.panaretos@epfl.ch +41 21 693 25 97







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

Web site:  Web site:  https://smat.epfl.ch

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Administrative data

Teaching & PhD

Teaching

Mathematics

PhD Students

Georgakis Nikitas, Krali Mario, Naepels Ulysse Imre Cornil, Tse Timmy Rong Tian, Yun Ho,

Past EPFL PhD Students

Alouini Sonia , Descary Marie-Hélène , Ghodrati Laya , Kraus Andrea , Kuusela Mikael Johan , Masarotto Valentina , Masák Tomas , Miralles Ophélia Mireille Anna , Rubin Tomas , Santoro Leonardo Vincenzo , Simeoni Matthieu Martin Jean-André , Tavakoli Shahin , Waghmare Kartik , Zemel Yoav ,

Courses

Statistics

This course provides an introduction to the mathematical treatment of the theory of statistical inference using the concept of likelihood as a unifying theme.

Linear models

Regression modelling is a fundamental tool of statistics, because it describes how the law of a random variable of interest may depend on other variables. This course aims to familiarize students with linear models and some of their extensions, which lie at the basis of more general regression model

Multivariate statistics

Multivariate statistics focusses on inferring the joint distributional properties of several random variables, seen as random vectors, with a main focus on uncovering their underlying dependence structure. This course offers a broad introduction to its concepts, methods & theory

Functional Data Analysis

A rigorous introduction to the statistical analysis of random functions and associated random operators. Viewing random functions either as random Hilbert vectors or as stochastic processes, we will see the interplay between nonparametrics and multivariate statistics in infinite dimensions.