Anthony Davison

Expertise

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

Mission

The goal of my academic work is to further the development of statistical science through the development and application of new approaches to data analysis and through collaborations both within and outwith the EPFL.

Biography Awards Publications Teaching

Anthony Davison has published on a wide range of topics in statistical theory and methods, and on environmental, biological and financial applications. His main research interests are statistics of extremes, likelihood asymptotics, bootstrap and other resampling methods, and statistical modelling, with a current particular focus on the first of these.

Education

BA

| Mathematics

1980 – 1980 Oxford

MSc

| Statistics

1981 – 1981 Imperial College London

PhD

| Statistics

1984 – 1984 Imperial College London

Awards

Guy Medal in Silver

Royal Statistical Society

2015

Medallion Lecture

Institute of Mathematical Statistics

2018

Selected publications

Statistical Models

Davison, A. C.
Published in Cambridge University Press, x 728 pages, 2003 in

Bootstrap Methods and their Application

Davison, A. C. and Hinkley, D. V.
Published in Cambridge University Press, x 582 pages, 1997 in

Celebrating Statistics: Papers in Honour of Sir David Cox on his 80th Birthday

Davison, A. C., Dodge, Y. and Wermuth, N. (eds)
Published in Oxford University Press, 2005 in

Models for exceedances over high thresholds (with Discussion)

Davison, A. C. and Smith, R. L.
Published in Journal of the Royal Statistical Society, series B, 52, 1990 in

Resampling-based variance estimation for labour force surveys

Canty, A. J. and Davison, A. C.
Published in The Statistician, 48, 1999 in

Biometrika Centenary: Theory and general methodology

Davison, A. C.
Published in Biometrika, 88, 2001 in

Recent developments in bootstrap methodology

Davison, A. C., Hinkley, D. V. and Young, G. A.
Published in Statistical Science, 18, 2003 in

Posterior probability intervals in Bayesian wavelet estimation

Semadeni, C., Davison, A. C. and Hinkley, D. V.
Published in Biometrika, 91, 2004 in

Generalized additive modelling of sample extremes

Chavez-Demoulin, V. and Davison, A. C.
Published in Applied Statistics, 54, 2005 in

A point process approach to value-at-risk estimation

Chavez-Demoulin, V., Davison, A. C. and McNeil, A. J.
Published in Quantitative Finance 5, 2005 in

Bootstrap diagnostics and remedies

Canty, A. J., Davison, A. C., Hinkley, D. V. and Ventura, V.
Published in Canadian Journal of Statistics 34, 2006. in

Improved likelihood inference for discrete data

Davison, A. C., Fraser, D. A. S., and Reid, N.
Published in Journal of the Royal Statistical Society, series B, 68, 2006 in

Statistical Modelling of Spatial Extremes

A. C. Davison, S. Padoan and M. Ribatet
Published in Statistical Science in 2012

all

Non-regular Inference: Universal Inference and Discrete Profiling

T. R. T. Tse / A. C. Davison; V. Panaretos (Dir.)

Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10780.

Anthony Davison

Expertise

Mission

Education

BA

MSc

PhD

Awards

Selected publications

Statistical Models

Bootstrap Methods and their Application

Celebrating Statistics: Papers in Honour of Sir David Cox on his 80th Birthday

Models for exceedances over high thresholds (with Discussion)

Resampling-based variance estimation for labour force surveys

Biometrika Centenary: Theory and general methodology

Recent developments in bootstrap methodology

Posterior probability intervals in Bayesian wavelet estimation

Generalized additive modelling of sample extremes

A point process approach to value-at-risk estimation

Bootstrap diagnostics and remedies

Improved likelihood inference for discrete data

Statistical Modelling of Spatial Extremes

all

Non-regular Inference: Universal Inference and Discrete Profiling

Structural equation models for multivariate extremes

Anthony C. Davison and Raphael de Fondeville's contribution to the Discussion of 'Inference for extreme spatial temperature events in a changing climate with application to Ireland' by Healy et al.

BAYESIAN MODELING OF INSURANCE CLAIMS FOR HAIL DAMAGE

Anthony C Davison and Igor Rodionov's contribution to the Discussion of 'Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas

Space-Time Extremes of Severe U.S. Thunderstorm Environments

Flexible Statistical Inference for Multivariate Extremes

Valerie Chavez-Demoulin, Anthony C Davison and Erwan Koch's contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'

Improved inference for a boundary parameter

Timing and spatial selection bias in rapid extreme event attribution

Some Reminiscences of David Cox

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Wind, Hail, and Climate Extremes: Modelling and Attribution Studies for Environmental Data

Causal modelling of heavy-tailed variables and confounders with application to river flow

A note on universal inference

Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks

Space Oddity? A Statistical Formulation of Conjunction Assessment

Improved Inference On Risk Measures For Univariate Extremes

Tail Risk Inference via Expectiles in Heavy-Tailed Time Series

Functional peaks-over-threshold analysis

Spatiotemporal modelling of extreme wildfires and severe thunderstorm environments

Is There a Cap on Longevity? A Statistical Review

Human mortality at extreme age

Sub‐asymptotic motivation for new conditional multivariate extreme models

Trends in the Extremes of Environments Associated with Severe US Thunderstorms

Practical issues with modeling extreme Brazilian rainfall

Parameter estimation for discretely observed linear birth-and-death processes

Special Issue: "Data Science versus Classical Inference: Prediction, Estimation, and Attribution", honouring Prof. Brad Efron's International Prize in Statistics in 2019 Discussion

The challenges of impact evaluation: Attempting to measure the effectiveness of community-based disaster risk management

An unethical optimization principle

A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Discussion

Inference on the Angular Distribution of Extremes

Comment: Models Are Approximations!

Large-scale variational inference for Bayesian joint regression modelling of high-dimensional genetic data

Contributions to Likelihood-Based Modelling of Extreme Values

Automatic L2 Regularization for Multiple Generalized Additive Models

Fast Automatic Smoothing for Generalized Additive Models

Dependence properties of spatial rainfall extremes and areal reduction factors

High-dimensional peaks-over-threshold inference

'The life of man, solitary, poore, nasty, brutish, and short': Discussion of the paper by Rootzen and Zholud

Functional Peaks-Over-Threshold Analysis for Complex Extreme Events

Semiparametric Bayesian Risk Estimation for Complex Extremes

Modelling across extremal dependence classes

A Functional Framework for Enhanced Ultrasound Imaging

Efficient inference for genetic association studies with multiple outcomes

Contributions to Modelling Extremes of Spatial Data

Bayesian Inference For The Brown-Resnick Process, With An Application To Extreme Low Temperatures

ODE parameter estimation through a runner's model application

Likelihood estimators for multivariate extremes

Bayesian uncertainty management in temporal dependence of extremes

Statistics of Extremes

A simple model-based approach to variable selection in classification and clustering

Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation

Meta-analysis of incomplete microarray studies

Contributions to Spatial Statistics : Species Distributions and Rare Events