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Victor Panaretos

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

EPFL SB MATH SMAT
MA B1 503 (Bâtiment MA)
Station 8
1015 Lausanne

Curriculum vitae


Teaching & PhD

Current Phd

Ulysse Naepels, Nikitas Georgakis, Ho Yun

Past Phd As Director

Andrea Kraus, Shahin Tavakoli, Mikael Kuusela, Yoav Zemel, Marie-Hélène Descary, Valentina Masarotto, Tomas Rubin, Tomas Masák, Laya Ghodrati, Kartik Waghmare, Leonardo Santoro

Past Phd As Codirector

Matthieu Simeoni, Ophelia Miralles, Sonia Alouini, Timmy Rong Tian Tse, Krali Mario

Courses

Linear models

MATH-341

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

MATH-444

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

Probability and statistics

MATH-233

The course is an introduction to probability and statistics for physicists.

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.