Anthony Davison

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

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

EPFL SB SMA-GE
MA A2 403 (Bâtiment MA)
Station 8
CH-1015 Lausanne

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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

Regression methods

General graduate course on regression methods

Program: Section of Mathematics


Statistics for data science

Statistics lies at the foundation of data science, providing a unifying theoretical and methodological backbone for the diverse tasks enountered in this emerging field. This course rigorously develops the key notions and methods of statistics, with an emphasis on concepts rather than techniques.

Program: Management of Technology and Entrepreneurship


Statistical inference

Inference from the particular to the general based on probability models is central to the statistical method. This course gives a graduate-level account of the main ideas of statistical inference.

Program: Section of Mathematics


MLSTATS

ML for predictive modeling is important in both industry and research. We join experts from stats and math to shed light on particular aspects of the theory and interpretability of DL. We discuss the statistical theory and generalization behavior of deep NNs, and how to move towards trustworthy DL.

Program: Doctoral Program in Mathematics