Tuesday
Tuesday's programme at EVA 2021
All times are BST (UTC +1)
Tuesday | Parallel Session 1 | Parallel Session 2 | Parallel Session 3 |
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10.00-11.15 | IS Machine learning (theory, inc. tail-adapted loss functions, concentration inequalities) Organizer/chair: Clemencon, S. |
IS Public health, epidemiology, life sciences and life lengths Organizer/chair: Thomas, M. |
CS Climate extremes (II) Chair: de Fondeville, R. |
Joly, E. Robust estimation of matrices and the consequences in matrix completion |
Mhalla, L. Discrete dependent extremes |
Huser, R. Modelling and estimation of extreme Red Sea surface temperature hotspots |
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Bertail, P. Concentration inequalities for NA random variables, applications to survey sampling |
Cheysson, F. Evolution of groups at high risk of death from COVID-19 using hospital data |
Choi, W. Marine heatwaves in Korean waters: seasonal and regional differences |
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Lerasle, M. Robust statistical learning |
Rootzén, R. Real-time prediction of severe influenza epidemics using multivariate generalized Pareto modelling |
Bhattacharya, S. Extremes of the spatial impact of heat waves |
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Castillo-Mateo, J. Nonparametric changepoint detection tests based on the breaking of records |
11.15-11.30 Break |
Tuesday | Parallel Session 1 | Parallel Session 2 | Parallel Session 3 |
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11.30-13.00 | IS Extremes & random structures (branching and dynamics, geometry) Organizer/chair: Roy, P. |
CS Spatial extremes (I) Chair: Padoan, S. |
CS Regression techniques (I) Chair: Zhou, C. |
Dyszewski, P. K-regular self-similar fragmentation process |
Zhong, P. Modelling and exact simulation of non-stationary temperature maxima with max-infinitely divisible processes |
Bousebata, M. Extreme partial least-squares regression |
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Yang, H. Scaling limits of branching random walks and branching stable processes |
Hazra, A. A sparse Gaussian scale mixture process for modelling short-range extremal dependence and long-range independence |
Stupfler, G. Extremile regression |
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Ghosh, A. Extreme Values in negative curvature |
Rønn-Nielsen, A. Extreme value theory for spatial random fields - with application to a Lévy-driven field |
Trapin, L. Modelling panels of extremes |
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Vandeskog, S. M. Modelling extreme sub-daily precipitation with the blended generalised extreme value distribution |
Leng, X. Extreme conditional quantiles for panel data model with individual effects |
13.00-14.00 Poster blitz |
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Mashabe, B., Unsupervised threshold selection in POT modelling: a comparative study |
Barltrop, C., Estimating bivariate return curves for non-stationary processes |
Silva Lomba, J., Mixed moment estimator for inference on space-time extremes |
Krali, M., Estimating an extreme Bayesian network via scalings |
Jurado, O. E., Assessing the skill of a max-stable process model for modeling extreme rainfall events for different seasons in Germany |
Healy, D., Simulating spatially realistic extreme temperature events in Ireland. |
Israelsson, J., A new class of estimators for residual dependence index and its application on tropical rainfall |
Zeder, J., The value of regularisation and model robustness in the context of climate extremes |
Vandeskog, S. M., Modelling extreme sub-daily precipitation with the blended generalized extreme value distribution |
Philomène, L. G., Spatial clustering of heavy precipitation over Switzerland |
14.00-16.00 Poster session |
Tuesday | Parallel Session 1 | Parallel Session 2 | Parallel Session 3 |
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16.00-17.15 | IS Causal inference Organizer/chair: Neslehova, J. |
CS Bayesian extremes Chair: Shaby, B. |
Best student paper (III) Chair: Fereira, A. |
Gnecco, N. Causal discovery in heavy-tailed models |
Zhang, L. Spatial scale-aware tail dependence modelling for high-dimensional spatial extremes |
Terefe, E. M. Extremal random forests |
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Peters, J. Can causal discovery benefit from extreme values? |
Rizzelli, S. Consistency of Bayesian and empirical Bayesian inference on multivariate max-stable distributions |
Asenova, S. Extremes of Markov random fields on block graphs |
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Papadogeorgou, G. Causal inference with spatio-temporal data |
Ramirez, K. V. Bayesian semiparametric modelling of jointly heteroscedastic extremes |
Jalalzai, H. Feature clustering for support identification in extreme regions |
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Yadav, R. A flexible Bayesian framework for modelling extreme spatial threshold exceedances using product mixtures of random fields |
Pasche, O. Causal modelling of heavy-tailed variables and confounders |
17.15-17.30 Break |
Tuesday | Parallel Session 1 | Parallel Session 2 | Parallel Session 3 |
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17.30-18.45 | IS Multivariate extremes (sparsity, high-dimensional, copulas, anomaly detection) Organizer/chair: Sabourin, A |
CS Applications of extremes (II) Chair: Castro, D. |
CS Extremes of stochastic processes (I) Chair: Kulik, R. |
Engelke, S. Extremal graphical lasso and high-dimensional extremes |
Pipiras, V. Multifidelity Monte Carlo estimation for extremes |
Ji, L. Extrema of multi-dimensional Gaussian processes over random intervals |
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Einmahl, J. Empirical tail copulas for functional data |
Shaby, B. Modelling first arrival of migratory birds using a hierarchical max-infinitely divisible process |
Krystecki, K. Two-dimensional ruin for Brownian motions with drift dependent on initial capital |
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Nolan, J. Robust Sparse Reconstruction |
Patel, L. Statistical learning of extreme spatio-temporal events with an application to global terror attacks |
Otto, M. Poisson approximation in the Poisson hyperplane mosaic |
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Wang, T. Reciprocity and large degree dependence in a preferential attachment model |
Owada, T. Convergence of persistence diagram in the subcritical regime |