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Correlation of powers of Hüsler-Reiss vectors and Brown-Resnick fields, and application to insured wind losses
Extremes. 2024. DOI : 10.1007/s10687-023-00474-w.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. Vol. 86, num. 1. DOI : 10.1093/jrsssb/qkad118.Flexible Statistical Inference for Multivariate Extremes
Lausanne, EPFL, 2024.2023
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’
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Journal Of The Royal Statistical Society Series A-Statistics In Society. 2023. Vol. 72, num. 4, p. 856 – 857. 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. Vol. 41, p. 100584. DOI : 10.1016/j.wace.2023.100584.Plant sterols and cholesterol metabolism are associated with five-year cognitive decline in the elderly population
Iscience. 2023. Vol. 26, num. 6, p. 106740. DOI : 10.1016/j.isci.2023.106740.Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems
Lausanne, EPFL, 2023.Spatiotemporal wildfire modeling through point processes with moderate and extreme marks
The Annals of Applied Statistics. 2023. Vol. 17, num. 1, p. 560 – 582. DOI : 10.1214/22-AOAS1642.Gradient boosting with extreme-value theory for wildfire prediction
Extremes. 2023. DOI : 10.1007/s10687-022-00454-6.Wind, Hail, and Climate Extremes: Modelling and Attribution Studies for Environmental Data
Lausanne, EPFL, 2023.2022
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. Vol. 11, num. 1, p. e501. DOI : 10.1002/sta4.501.Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks
Artificial Intelligence for the Earth Systems. 2022. Vol. 1, num. 4, p. e220018. 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.Stochastic derivative estimation for max-stable random fields
European Journal Of Operational Research. 2022. Vol. 302, num. 2, p. 575 – 588. DOI : 10.1016/j.ejor.2021.12.026.Improved Inference On Risk Measures For Univariate Extremes
Annals Of Applied Statistics. 2022. Vol. 16, num. 3, p. 1524 – 1549. 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.Influence of advanced footwear technology on sub-2 hour marathon and other top running performances
Journal Of Quantitative Analysis In Sports. 2022. Vol. 18, num. 1, p. 73 – 86. DOI : 10.1515/jqas-2021-0043.Ecological momentary assessment of emotional processing: An exploratory analysis comparing daily life and a psychotherapy analogue session
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Lausanne, EPFL, 2022.Is There a Cap on Longevity? A Statistical Review
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Biological Conservation. 2021. Vol. 265, p. 109420. DOI : 10.1016/j.biocon.2021.109420.Study protocol for the ETMED-L project: longitudinal study of mental health and interpersonal competence of medical students in a Swiss university using a comprehensive framework of empathy
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Special Issue: “Data Science versus Classical Inference: Prediction, Estimation, and Attribution”, honouring Prof. Brad Efron’s International Prize in Statistics in 2019 Discussion
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Environmetrics. 2020. p. e2656. DOI : 10.1002/env.2656.An unethical optimization principle
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Lausanne, EPFL, 2020.2019
Exploration and Inference in Spatial Extremes Using Empirical Basis Functions
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Lausanne, EPFL, 2019.Large-scale variational inference for Bayesian joint regression modelling of high-dimensional genetic data
Lausanne, EPFL, 2019.Automatic L2 Regularization for Multiple Generalized Additive Models
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2017.Generalized Pickands constants and stationary max-stable processes
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Lausanne, EPFL, 2014.Contributions to Spatial Statistics : Species Distributions and Rare Events
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Lausanne, EPFL, 2013.Bayesian Semiparametrics for Modelling the Clustering of Extreme Values
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2012. p. S29 – S29.A case study of a “Dragon-King”: The 1999 Venezuelan catastrophe
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Lausanne, EPFL, 2012.A dimension reduction technique for estimation in linear mixed models
2012. Conference of the LinStat, Tomar, PORTUGAL, Jul 27-31, 2010. p. 219 – 226. DOI : 10.1080/00949655.2011.604032.Bayesian inference from composite likelihoods, with an application to spatial extremes
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2012. AGU Fall Meeting.From sensor networks to connected analysis tools
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Extreme-Value Analysis, Bern, Switzerland, 23-27 July 2007.Hierarchical wavelet modelling of environmental sensor data
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An Intorduction to the Interface Between C and R
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Applied Asymptotics: Case Studies in Small-Sample Statistics
Cambridge: Cambridge University Press, 2007.Resamping variance estimation in surveys with missing data
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A comparison of naive and conditioned responses of three generalist endoparasitoids of lepidopteran larvae to host-induced plant odours
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Gene Expression Measurements by Quantitative Real-time PCR Depends on Short Amplicons and a Proper Normalization
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