Formation
BA
| Mathematics1980 – 1980 Oxford
MSc
| Statistics1981 – 1981 Imperial College London
PhD
| Statistics1984 – 1984 Imperial College London
Prix et distinctions
Guy Medal in Silver
Royal Statistical Society
2015
Medallion Lecture
Institute of Mathematical Statistics
2018
Publications représentatives
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
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10780.Structural equation models for multivariate extremes
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10779.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.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS. 2024. DOI : 10.1093/jrsssc/qlae081.BAYESIAN MODELING OF INSURANCE CLAIMS FOR HAIL DAMAGE
Annals of Applied Statistics. 2024. DOI : 10.1214/24-AOAS1925.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
Journal Of The Royal Statistical Society Series B-Statistical Methodology. 2024. DOI : 10.1093/jrsssb/qkad118.Space-Time Extremes of Severe U.S. Thunderstorm Environments
Journal of the American Statistical Association. 2024. DOI : 10.1080/01621459.2024.2421582.Flexible Statistical Inference for Multivariate Extremes
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10670.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'
Journal Of The Royal Statistical Society Series C-Applied Statistics. 2023. DOI : 10.1093/jrsssc/qlad051.Improved inference for a boundary parameter
Canadian Journal Of Statistics-Revue Canadienne De Statistique. 2023. DOI : 10.1002/cjs.11791.Timing and spatial selection bias in rapid extreme event attribution
Weather And Climate Extremes. 2023. DOI : 10.1016/j.wace.2023.100584.Some Reminiscences of David Cox
HARVARD DATA SCIENCE REVIEW. 2023. DOI : 10.1162/99608f92.85038493.Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9493.Wind, Hail, and Climate Extremes: Modelling and Attribution Studies for Environmental Data
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-11082.Causal modelling of heavy-tailed variables and confounders with application to river flow
Extremes. 2022. DOI : 10.1007/s10687-022-00456-4.A note on universal inference
Stat. 2022. DOI : 10.1002/sta4.501.Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks
Artificial Intelligence for the Earth Systems. 2022. DOI : 10.1175/AIES-D-22-0018.1.Space Oddity? A Statistical Formulation of Conjunction Assessment
Journal Of Guidance Control And Dynamics. 2022. DOI : 10.2514/1.G006282.Improved Inference On Risk Measures For Univariate Extremes
Annals Of Applied Statistics. 2022. DOI : 10.1214/21-AOAS1555.Tail Risk Inference via Expectiles in Heavy-Tailed Time Series
Journal Of Business & Economic Statistics. 2022. DOI : 10.1080/07350015.2022.2078332.Functional peaks-over-threshold analysis
Journal Of The Royal Statistical Society Series B-Statistical Methodology. 2022. DOI : 10.1111/rssb.12498.Is There a Cap on Longevity? A Statistical Review
Annual Review Of Statistics And Its Application. 2022. DOI : 10.1146/annurev-statistics-040120-025426.Spatiotemporal modelling of extreme wildfires and severe thunderstorm environments
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9156.Human mortality at extreme age
Royal Society Open Science. 2021. DOI : 10.1098/rsos.202097.Sub‐asymptotic motivation for new conditional multivariate extreme models
Stat. 2021. DOI : 10.1002/sta4.401.Trends in the Extremes of Environments Associated with Severe US Thunderstorms
Journal Of Climate. 2021. DOI : 10.1175/JCLI-D-19-0826.1.Practical issues with modeling extreme Brazilian rainfall
Brazilian Journal Of Probability And Statistics. 2021. DOI : 10.1214/20-BJPS495.Parameter estimation for discretely observed linear birth-and-death processes
Biometrics. 2021. DOI : 10.1111/biom.13282.Special Issue: "Data Science versus Classical Inference: Prediction, Estimation, and Attribution", honouring Prof. Brad Efron's International Prize in Statistics in 2019 Discussion
International Statistical Review. 2020. DOI : 10.1111/insr.12410.The challenges of impact evaluation: Attempting to measure the effectiveness of community-based disaster risk management
International Journal of Disaster Risk Reduction. 2020. DOI : 10.1016/j.ijdrr.2020.101732.An unethical optimization principle
Royal Society Open Science. 2020. DOI : 10.1098/rsos.200462.A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma
Plos Computational Biology. 2020. DOI : 10.1371/journal.pcbi.1007882.A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression
Annals Of Applied Statistics. 2020. DOI : 10.1214/20-AOAS1332.Discussion
Journal Of The American Statistical Association. 2020. DOI : 10.1080/01621459.2020.1762616.Inference on the Angular Distribution of Extremes
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-8168.Comment: Models Are Approximations!
Statistical Science. 2019. DOI : 10.1214/19-STS746.Automatic L2 Regularization for Multiple Generalized Additive Models
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9393.Large-scale variational inference for Bayesian joint regression modelling of high-dimensional genetic data
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9139.Fast Automatic Smoothing for Generalized Additive Models
Journal of Machine Learning Research. 2019.Contributions to Likelihood-Based Modelling of Extreme Values
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9685.Dependence properties of spatial rainfall extremes and areal reduction factors
Journal of Hydrology. 2018. DOI : 10.1016/j.jhydrol.2018.08.061.'The life of man, solitary, poore, nasty, brutish, and short': Discussion of the paper by Rootzen and Zholud
Extremes. 2018. DOI : 10.1007/s10687-018-0329-5.High-dimensional peaks-over-threshold inference
Biometrika. 2018. DOI : 10.1093/biomet/asy026.Semiparametric Bayesian Risk Estimation for Complex Extremes
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8349.Functional Peaks-Over-Threshold Analysis for Complex Extreme Events
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8927.Efficient inference for genetic association studies with multiple outcomes
Biostatistics. 2017. DOI : 10.1093/biostatistics/kxx007.A Functional Framework for Enhanced Ultrasound Imaging
2017Modelling across extremal dependence classes
Journal Of The Royal Statistical Society Series B-Statistical Methodology. 2017. DOI : 10.1111/rssb.12157.Contributions to Modelling Extremes of Spatial Data
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7479.ODE parameter estimation through a runner's model application
2016Bayesian uncertainty management in temporal dependence of extremes
Extremes. 2016. DOI : 10.1007/s10687-016-0258-0.Likelihood estimators for multivariate extremes
Extremes. 2016. DOI : 10.1007/s10687-015-0230-4.Bayesian Inference For The Brown-Resnick Process, With An Application To Extreme Low Temperatures
Annals of Applied Statistics. 2016. DOI : 10.1214/16-Aoas980.Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation
Journal Of The American Statistical Association. 2015. DOI : 10.1080/01621459.2014.983230.A simple model-based approach to variable selection in classification and clustering
Canadian Journal Of Statistics-Revue Canadienne De Statistique. 2015. DOI : 10.1002/cjs.11241.Meta-analysis of incomplete microarray studies
Biostatistics. 2015. DOI : 10.1093/biostatistics/kxv014.Statistics of Extremes
Annual Review Of Statistics And Its Application; Palo Alto: Annual Reviews, 2015. p. 203 - 235.Space-time modelling of extreme events
Journal Of The Royal Statistical Society Series B-Statistical Methodology. 2014. DOI : 10.1111/rssb.12035.Measuring the relative effect of factors affecting species distribution model predictions
Methods In Ecology And Evolution. 2014. DOI : 10.1111/2041-210X.12203.Spectral Density Ratio Models for Multivariate Extremes
Journal Of The American Statistical Association. 2014. DOI : 10.1080/01621459.2013.872651.Accurate Directional Inference for Vector Parameters in Linear Exponential Families
Journal Of The American Statistical Association. 2014. DOI : 10.1080/01621459.2013.839451.Contributions to Spatial Statistics : Species Distributions and Rare Events
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6426.Meta-analysis of Incomplete Microarray Studies
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6371.Statistical Modeling and Inference for Spatio-Temporal Extremes
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5946.Geostatistics of Dependent and Asymptotically Independent Extremes
Mathematical Geosciences. 2013. DOI : 10.1007/s11004-013-9469-y.Composite likelihood estimation for the Brown--Resnick process
Biometrika. 2013. DOI : 10.1093/biomet/ass089.On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes - Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
Atmospheric Chemistry And Physics. 2013. DOI : 10.5194/acp-13-147-2013.On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes - Part 2: The effects of the El Nino/Southern Oscillation, volcanic eruptions and contributions of atmospheric dynamics and chemistry to long-term total ozone changes
Atmospheric Chemistry And Physics. 2013. DOI : 10.5194/acp-13-165-2013.Threshold modeling of extreme spatial rainfall
Water Resources Research. 2013. DOI : 10.1002/wrcr.20329.Bayesian Semiparametrics for Modelling the Clustering of Extreme Values
2013Geostatistics of extremes
Proceedings of the Royal Society of London Series A: Mathematical and Physical Sciences. 2012. DOI : 10.1098/rspa.2011.0412.Modelling Time Series Extremes
Revstat-Statistical Journal. 2012.Statistical Analysis of Mountain Permafrost Temperatures
Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5270.Bayesian inference from composite likelihoods, with an application to spatial extremes
Statistica Sinica. 2012. DOI : 10.5705/ss.2009.248.A case study of a "Dragon-King": The 1999 Venezuelan catastrophe
European Physical Journal-Special Topics. 2012. DOI : 10.1140/epjst/e2012-01566-6.High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclust
Journal Of Statistical Software. 2012. DOI : 10.18637/jss.v047.i05.Statistical modelling of ground temperature in mountain permafrost
Proceedings Of The Royal Society A-Mathematical Physical And Engineering Sciences. 2012. DOI : 10.1098/rspa.2011.0615.Statistical Modeling of Spatial Extremes
Statistical Science. 2012. DOI : 10.1214/11-STS376.Extremes: spatial parametric modeling
Encyclopedia of Environmetrics Second Edition; Chichester, UK: John Wiley, 2012. p. 984 - 990.Open Support Platform for Environmental Research (OSPER)-tools for the discovery and exploitation of environmental data
2012. AGU Fall Meeting.Diabetes imaging — quantitative assessment of islets of Langerhans distribution in murine pancreas using extended-focus optical coherence microscopy
Biomedical Optics Express. 2012. DOI : 10.1364/BOE.3.001365.From sensor networks to connected analysis tools
2012. European Geosciences Union General Assembly 2012, Vienna, Austria, April 22-27, 2012.Spatial modelling of extreme snow depth
Annals of Applied Statistics. 2011. DOI : 10.1214/11-AOAS464.Statistics of extremes
International Encyclopedia of Statistical Science; new York: Springer, 2011. p. 1484 - .Comparison of Models for Olfactometer Data
Journal of Agricultural, Biological, and Environmental Statistics. 2011. DOI : 10.1007/s13253-010-0042-6.Extreme temperature analysis under forest cover compared to an open field
Agricultural And Forest Meteorology. 2011. DOI : 10.1016/j.agrformet.2011.03.005.Discussion of `Threshold modelling of spatially dependent non-stationary extremes with application to hurricane-induced wave heights' by P. J. Northrop and P. Jonathan
Environmetrics. 2011. DOI : 10.1002/env.1125.Discussion of the papers by Dankers and Feyen, Cooley, and Keef
2011. International Statistical Institute, Dublin, Ireland, August 21-26, 2011.Hierarchical wavelet modelling of environmental sensor data
Brazilian Journal of Probability and Statistics. 2011. DOI : 10.1214/11-BJPS154.Extreme events in total ozone over Arosa---Part 2: Fingerprints of atmospheric dynamics and chemistry and effects on mean values and long-term changes
Atmospheric Chemistry And Physics. 2010. DOI : 10.5194/acp-10-10033-2010.Extreme events in total ozone over Arosa---Part 1: Application of extreme value theory
Atmospheric Chemistry And Physics. 2010. DOI : 10.5194/acp-10-10021-2010.Geostatistics of Extremes : A Composite Likelihood Approach
Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4844.Effects of Rewarding and Unrewarding Experiences on the Response to Host-induced Plant Odors of the Generalist Parasitoid Cotesia marginiventris (Hymenoptera: Braconidae)
Journal of Insect Behavior. 2010. DOI : 10.1007/s10905-010-9215-y.Three Examples of Accurate Likelihood Inference
American Statistician. 2010. DOI : 10.1198/tast.2010.09004.Model misspecification in peaks over threshold analysis
The Annals of Applied Statistics. 2010. DOI : 10.1214/09-AOAS292.Fast high-dimensional Bayesian classification and clustering
Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4482.Saddlepoint approximation for mixture models
Biometrika. 2009. DOI : 10.1093/biomet/asp022.Statistical analysis of clusters of extreme events
Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4312.Stochastic modelling of prey depletion processes
Journal of Theoretical Biology. 2009. DOI : 10.1016/j.jtbi.2009.04.017.The Banff challenge: Statistical detection of a noisy signal
Statistical Science. 2008. DOI : 10.1214/08-STS260.Accurate parametric inference for small samples
Statistical Science. 2008. DOI : 10.1214/08-STS273.Some challenges for statistics
Statistical Methods and Applications. 2008. DOI : 10.1007/s10260-007-0079-z.Entrainment and motion of coarse particles in a shallow water stream down a steep slope
Journal of Fluid Mechanics. 2008. DOI : 10.1017/S0022112007008774.Statistical methods for insect choice experiments
Lausanne, EPFL, 2008. DOI : 10.5075/epfl-thesis-4020.A mixture model for multivariate extremes
Journal of the Royal Statistical Society, series B. 2007. DOI : 10.1111/j.1467-9868.2007.00585.x.Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting
Plant Physiology. 2007. DOI : 10.1104/pp.106.090795.Hierarchical wavelet modelling of environmental sensor data
2007Statistical inference for olfactometer data
Applied Statistics. 2007. DOI : 10.1111/j.1467-9876.2007.00588.x.Applied Asymptotics: Case Studies in Small-Sample Statistics
Cambridge: Cambridge University Press.Conserved oviposition preferences in alpine leaf beetle populations despite host shifts and isolation
Ecological Entomology. 2007. DOI : 10.1111/j.1365-2311.2006.00842.x.Resamping variance estimation in surveys with missing data
Journal of Offical Statistics. 2007.Some Basic Functions for Tree Representations of Bayesian Markov Chain Monte Carlo Clustering
2007Reliable confidence intervals in quantitative genetics: Narrow-sense heritability
Theoretical and Applied Genetics. 2007. DOI : 10.1007/s00122-007-0619-9.Bootstrap diagnostics and remedies
Canadian Journal of Statistics. 2006. DOI : 10.1002/cjs.5550340103.Clustering of extreme temperatures from 1772 to 2004
Global Change Day 2006, Bern, Switzerland, 2006-04-20.Bayesian risk analysis of financial time series
Lausanne, EPFL, 2006. DOI : 10.5075/epfl-thesis-3470.Assessment and analysis of mechanical allodynia-like behaviour induced by spared nerve injury (SNI) in the mouse
Pain. 2006. DOI : 10.1016/j.pain.2005.10.036.A comparison of naive and conditioned responses of three generalist endoparasitoids of lepidopteran larvae to host-induced plant odours
Animal Biology. 2006. DOI : 10.1163/157075606777304177.Méthodes de rééchantillonnage pour l'estimation de variance
Journal de la Société Française de Statistique. 2006.Improved likelihood inference for discrete data
Journal of the Royal Statistical Society series B. 2006. DOI : 10.1111/j.1467-9868.2006.00548.x.A Laplace mixture model for the identification of differential expression in microarrays
Biostatistics. 2006. DOI : 10.1093/biostatistics/kxj032.Bayesian forecasting of grape moth emergence
Ecological Modelling. 2006. DOI : 10.1016/j.ecolmodel.2006.03.030.Celebrating Statistics: Papers in Honour of Sir David Cox on the Occasion of his 80th Birthday
Oxford, UK: Oxford University Press.A point process approach to value-at-risk estimation
Quantitative Finance. 2005. DOI : 10.1080/14697680500039613.The evaluation of evidence in the forensic investigation of fire incidents (Part I): An approach using Bayesian networks
Forensic Science International. 2005. DOI : 10.1016/j.forsciint.2004.04.014.The evaluation of evidence in the forensic investigation of fire incidents (Part II): Practical examples of the use of Bayesian networks
Forensic Science International. 2005. DOI : 10.1016/j.forsciint.2004.04.015.Generalized additive models for sample extremes
Applied Statistics. 2005. DOI : 10.1111/j.1467-9876.2005.00479.x.Bootstrap methods
Encyclopedia of Statistics in the Behavioural Sciences; Wiley, 2005. p. 169 - 176.Mixture models for multivariate extremes
Lausanne, EPFL, 2004. DOI : 10.5075/epfl-thesis-3098.A six-arm olfactometer permitting simultaneous observation of insect attraction and odour trapping
Physiological Entomology. 2004. DOI : 10.1111/j.1365-3032.2004.0362.x.Order statistics
Encyclopedia of Biostatistics; Wiley, 2004.Normal Scores
Encyclopedia of Biostatistics; Wiley, 2004.Posterior probability intervals in Bayesian wavelet estimation
Biometrika. 2004. DOI : 10.1093/biomet/91.2.497.Extreme values
Encyclopedia of Biostatistics; Wiley, 2004.Resampling-based variance estimation in DACSEIS with application to the Swiss Household Budget Survey
2004.Statistical Models
Cambridge: Cambridge University Press.Non-parametric bootstrap confidence intervals for the intraclass correlation coefficient
Statistics in Medicine. 2003. DOI : 10.1002/sim.1643.The Oxford Dictionary of Statistical Terms
The Oxford Dictionary of Statistical Terms; Oxford University Press, 2003.Discussion of Heffernan, J. and Tawn, J. A. (2004) A conditional approach for multivariate extreme values
Journal of the Royal Statistical Society series B. 2003.Recent developments in bootstrap methodology
Statistical Science. 2003. DOI : 10.1214/ss/1063994969.Resampling-based variance estimation in DACSEIS
Bulletin of the International Statistical Institute: Data quality in complex surveys, Berlin. 2003.A note on model uncertainty in linear regression
The Statistician. 2003. DOI : 10.1111/1467-9884.00349.Discussion of Wakefield, J. (2004) Ecological inference for 2x2 tables
Journal of the Royal Statistical Society series A. 2003.Discussion of Kong, A., McCullagh, P., Nicolae, D., Tan, Z., and Meng, X.-L. (2003) A theory of statistical models for Monte Carlo integration
Journal of the Royal Statistical Society series B. 2003.Saddlepoint approximations as smoothers
Biometrika. 2002. DOI : 10.1093/biomet/89.4.933.Empirical supremum rejection sampling
Biometrika. 2002. DOI : 10.1093/biomet/89.4.745.An introduction to the bootstrap with applications in R
Statistical Computing and Graphics Newsletter. 2002.Local models for exploratory analysis of hydrological extremes
Journal of Hydrology. 2002. DOI : 10.1016/S0022-1694(01)00522-4.A Robust Rainfall-Runoff Transfer Model
Water Resources Research. 2001. DOI : 10.1029/2001WR000295.Computer-intensive statistical methods : saddlepoint approximations with applications in bootstrap and robust inference
Lausanne, EPFL, 2001. DOI : 10.5075/epfl-thesis-2449.Regression diagnostics
Encyclopedia of Environmetrics; Wiley, 2001. p. 1728 - 1733.Biometrika centenary: Theory and general methodology
Biometrika. 2001. DOI : 10.1093/biomet/88.1.13.Practical small-sample parametric inference
Lausanne, EPFL, 2000. DOI : 10.5075/epfl-thesis-2230.Inference for the poly-Weibull model
The Statistician. 2000. DOI : 10.1111/1467-9884.00229.Contribution to the discussion of `The estimating function bootstrap' by F. Hu and J. D. Kalbfleisch
Canadian Journal of Statistics. 2000.Parallel processing in statistical computation : BSP, FPGas and MPI for the S-language
Lausanne, EPFL, 2000. DOI : 10.5075/epfl-thesis-2273.Local likelihood smoothing of sample extremes
Journal of the Royal Statistical Society series B. 2000. DOI : 10.1111/1467-9868.00228.Wavestrapping time series: Adaptive wavelet-based bootstrapping
Nonlinear and Nonstationary Signal Processing; Cambridge University Press, 2000. p. 442 - 471.The bootstrap: A tutorial
1999. p. 10 - 18.Two problems in environmental statistics : capture-recapture analysis and smooth extremal models
Lausanne, EPFL, 1999. DOI : 10.5075/epfl-thesis-2082.Resampling-based variance estimation for labour force surveys
The Statistician. 1999. DOI : 10.1111/1467-9884.00196.Extreme values
Encyclopedia of Biostatistics; Wiley, 1998. p. 1463 - 1467.Implementation of saddlepoint approximations in resampling problems
Statistics and Computing. 1998. DOI : 10.1023/A:1008801807768.Bootstrap Methods and Their Application
Cambridge: Cambridge University Press.Implementation of saddlepoint approximations to bootstrap distributions
1996. p. 248 - 253.Reliable confidence intervals. Discussion of ``Bootstrap confidence intervals'', by T. J. DiCiccio and B. Efron
Statistical Science. 1996.Some models for discretized series of events
Journal of the American Statistical Association. 1996. DOI : 10.1080/01621459.1996.10476929.Infoscience
Model misspecification in peaks over threshold analysis
The Annals of Applied Statistics. 2010. DOI : 10.1214/09-AOAS292.Stochastic modelling of prey depletion processes
Journal of Theoretical Biology. 2009. DOI : 10.1016/j.jtbi.2009.04.017.Accurate parametric inference for small samples
Statistical Science. 2008. DOI : 10.1214/08-STS273.Statistical inference for olfactometer data
Applied Statistics. 2007. DOI : 10.1111/j.1467-9876.2007.00588.x.Applied Asymptotics: Case Studies in Small-Sample Statistics
Cambridge: Cambridge University Press.Bootstrap diagnostics and remedies
Canadian Journal of Statistics. 2006. DOI : 10.1002/cjs.5550340103.Improved likelihood inference for discrete data
Journal of the Royal Statistical Society series B. 2006. DOI : 10.1111/j.1467-9868.2006.00548.x.A Laplace mixture model for the identification of differential expression in microarrays
Biostatistics. 2006. DOI : 10.1093/biostatistics/kxj032.A point process approach to value-at-risk estimation
Quantitative Finance. 2005. DOI : 10.1080/14697680500039613.Generalized additive models for sample extremes
Applied Statistics. 2005. DOI : 10.1111/j.1467-9876.2005.00479.x.Celebrating Statistics: Papers in Honour of Sir David Cox on the Occasion of his 80th Birthday
Oxford, UK: Oxford University Press.Statistical Models
Cambridge: Cambridge University Press.Biometrika centenary: Theory and general methodology
Biometrika. 2001. DOI : 10.1093/biomet/88.1.13.Local likelihood smoothing of sample extremes
Journal of the Royal Statistical Society series B. 2000. DOI : 10.1111/1467-9868.00228.Bootstrap Methods and Their Application
Cambridge: Cambridge University Press.A dirigé les thèses EPFL de
Linda Frossard, Léo Raymond-Belzile, Sonia Alouini, Alix Corinne Josiane Colette Zollinger, Mária Süveges, Mehdi Gholam, Hélène Ruffieux, Soumaya Elkantassi, Raphaël Huser, Mathieu Jacques David Cambou, Ophélia Mireille Anna Miralles, Yousra El Bachir, Ingrid Ricard, Jonathan Koh Boon Han, Mario Krali, Vahid Partovi Nia, Raphaël Gérard Théodore Michel Marie de Deloÿe et Fourcade de Fondeville, Timmy Rong Tian Tse, Claudio Andri Semadeni, Evelyn Zenklusen Mutter, Emeric Rolland Georges Thibaud, Thomas Lugrin