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Anthony Christopher Davison

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Related publications (92)

Page 3 of 5

Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks

Anthony Christopher Davison, Ophélia Mireille Anna Miralles

Near-surface wind is difficult to estimate using global numerical weather and climate models, because airflow is strongly modified by underlying topography, especially that of a country such as Switzerland. In this article, we use a statistical approach ba ...

2022

Extreme events in total ozone over Arosa---Part 1: Application of extreme value theory

Anthony Christopher Davison

In this study ideas from extreme value theory are for the first time applied in the field of stratospheric ozone research, because statistical analysis showed that previously used concepts assuming a Gaussian distribution (e.g. fixed deviations from mean v ...

Copernicus Publications2010

Spectral Density Ratio Models for Multivariate Extremes

Anthony Christopher Davison

The modeling of multivariate extremes has received increasing recent attention because of its importance in risk assessment. In classical statistics of extremes, the joint distribution of two or more extremes has a nonparametric form, subject to moment con ...

American Statistical Association2014

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

Anthony Christopher Davison, Emeric Rolland Georges Thibaud

The Brown-Resnick max-stable process has proven to be well suited for modeling extremes of complex environmental processes, but in many applications its likelihood function is intractable and inference must be based on a composite likelihood, thereby preve ...

Inst Mathematical Statistics2016

Modelling across extremal dependence classes

Anthony Christopher Davison, Jennifer Lynne Wadsworth

Different dependence scenarios can arise in multivariate extremes, entailing careful selection of an appropriate class of models. In bivariate extremes, the variables are either asymptotically dependent or are asymptotically independent. Most available sta ...

Wiley-Blackwell2017

Saddlepoint approximation for mixture models

Anthony Christopher Davison

Two-component mixture distributions with one component a point mass and the other a continuous density may be used as priors for Bayesian inference when sparse representation of an underlying signal is required. We show how saddlepoint approximation in suc ...

2009

Meta-analysis of incomplete microarray studies

Anthony Christopher Davison, Darlene Goldstein, Alix Corinne Josiane Colette Zollinger

Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies lack information, for example, having only a ranked list of genes instead of complete primary data, it is ...

Oxford University Press2015

Statistical Modeling of Spatial Extremes

Anthony Christopher Davison, Simone Padoan

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection. This article reviews recent progress in the ...

Institute of Mathematical Statistics2012

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

Anthony Christopher Davison

2018

A note on universal inference

Anthony Christopher Davison, Timmy Rong Tian Tse

Universal inference enables the construction of confidence intervals and tests without regularity conditions by splitting the data into two parts and appealing to Markov's inequality. Previous investigations have shown that the cost of this generality is a ...

WILEY2022

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

Anthony Christopher Davison

Severe thunderstorms cause substantial economic and human losses in the United States. Simultaneous high values of convective available potential energy (CAPE) and storm relative helicity (SRH) are favorable to severe weather, and both they and the composi ...

2024

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

Anthony Christopher Davison

Saddlepoint techniques have been used successfully in many applications, owing to the high accuracy with which they can approximate intractable densities and tail probabilities. This article concerns their use for the estimation of high-order integer-value ...

American Statistical Association2015

Spatial modelling of extreme snow depth

Anthony Christopher Davison, Juliette Ferial Blanchet

The spatial modelling of extreme snow is important for adequate risk management in Alpine and high altitude countries. A natural approach to such modelling is through the theory of max-stable processes, an infinite-dimensional extension of multivariate ext ...

2011

Overcoming Multi-model Forgetting

Anthony Christopher Davison, Mathieu Salzmann, Martin Jaggi, Claudiu-Cristian Musat, Kaicheng Yu

We identify a phenomenon, which we refer to as multi-model forgetting, that occurs when sequentially training multiple deep networks with partially-shared parameters; the performance of previously-trained models degrades as one optimizes a subsequent one, ...

JMLR2019

Dynamic fragmentation of a ring: Predictable fragment mass distributions

Jean-François Molinari, Anthony Christopher Davison, Sarah Levy

We employ a finite element framework, coupled to cohesive elements, to model material decohesion of a uniformly expanding ring. Our study focuses on the average fragment mass, the distribution of fragment masses, and the heaviest fragments. The computed fr ...

American Physical Society2010

Reliable confidence intervals in quantitative genetics: Narrow-sense heritability

Anthony Christopher Davison

Many quantitative genetic statistics are functions of variance components, for which a large number of replicates is needed for precise estimates and reliable measures of uncertainty, on which sound interpretation depends. Moreover, in large experiments th ...

2007

Hierarchical wavelet modelling of environmental sensor data

Anthony Christopher Davison

Motivated by the need to smooth and to summarize multiple simultaneous time series arising from networks of environmental monitors, we propose a hierarchical wavelet model for which estimation of hyperparameters can be performed by marginal maximum likelih ...

2011

Bayesian uncertainty management in temporal dependence of extremes

Anthony Christopher Davison, Thomas Lugrin

Both marginal and dependence features must be described when modelling the extremes of a stationary time series. There are standard approaches to marginal modelling, but long-and short-range dependence of extremes may both appear. In applications, an assum ...

Springer Verlag2016

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

Anthony Christopher Davison, Vahid Partovi Nia

Clustering and classification of replicated data is often performed using classical techniques that inappropriately treat the data as unreplicated, or by complex modern ones that are computationally demanding. In this paper, we introduce a simple approach ...

Wiley-Blackwell2015

Conserved oviposition preferences in alpine leaf beetle populations despite host shifts and isolation

Anthony Christopher Davison

Choosing the plant on which to lay their eggs is the last act of care that most female herbivorous insects bestow upon their offspring. These decisions play a pivotal role in insect–plant interactions, placing host preference under strong selection and ...

2007