Anthony Davison

EPFL SB MATH STAT
MA B1 423 (Bâtiment MA)
Station 8
CH-1015 Lausanne

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

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Administrative data

Fields of expertise

Statistical theory and methods. 
 
Applications, particularly to environmental and biological data.

Education

BA

Mathematics

Oxford

1980

MSc

Statistics

Imperial College London

1981

PhD

Statistics

Imperial College London

1984


Awards

Laurea Honoris Causa in Statistical Science

University of Padova

2009

Guy Medal in Silver

Royal Statistical Society

2015

Medallion Lecture

Institute of Mathematical Statistics

2018

Mitchell Lecturer

University of Glasgow

2012

Francqui Chair

Hasselt University

2011

Publications

Infoscience publications

Teaching & PhD

Teaching

Mathematics

PhD Programs

Doctoral Program in Mathematics

Courses

Probabilities and statistics

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

Probabilities and statistics

This course is an introduction to probability theory and statistical methods.

Modern regression methods

An advanced course on regression modelling.

Risk, rare events and extremes

Modelling of rare events, such as stock market crashes, storms and catastrophic structural failures, is important. This course will describe the special models and methods that are relevant to such modelling, including the mathematical bases, statistical tools and applications.