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
CH-1015 Lausanne

+41 21 693 25 97
+41 21 693 79 22
Office: MA B1 503
EPFL > SB > MATH > SMAT

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

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

+41 21 693 25 97
+41 21 693 55 85
Office: MA B1 503
EPFL > SB > MATH > MATH-GE

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Administrative data

Teaching & PhD

Teaching

Mathematics

PhD Programs

Doctoral Program in Mathematics

PhD Students

Alouini Sonia, Ghodrati Laya, Krali Mario, Masák Tomas, Santoro Leonardo Vincenzo, Tse Timmy Rong Tian, Waghmare Kartik,

Past EPFL PhD Students

Descary Marie-Hélène , Kraus Andrea , Kuusela Mikael Johan , Masarotto Valentina , Rubin Tomas , Simeoni Matthieu Martin Jean-André , Tavakoli Shahin , 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 basic tool of statistics, because it describes how a random variable of interest may depend on other variables. The aim of this course is to familiarize students with the basis of regression modelling, and of some related topics.

Learning Theory of Nonparametric Regression

This course is intended to give a brief overview of how to prove consistency results in nonparametric regression. In particular, we will focus on least-square regression estimators. Some connections to the empirical risk minimization (ERM) problem will be discussed from time to time.