30 citations · 72 across the 7 of their papers we have counts for
7 papers
MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
Shruti Nath, Julie Carreau, Kai Kornhuber +3
High-impact climate damages are often driven by compounding climate conditions. For example, elevated heat stress conditions can arise from a combination of high humidity and tempe…
Multivariate extreme value theory
Philippe Naveau, Johan Segers
When passing from the univariate to the multivariate setting, modelling extremes becomes much more intricate. In this introductory exposition, classical multivariate extreme value…
Causal Discovery in Multivariate Extremes with a Hydrological Analysis of Swiss River Discharges
Linda Mhalla, Valérie Chavez-Demoulin, Philippe Naveau
Causal asymmetry is based on the principle that an event is a cause only if its absence would not have been a cause. From there, uncovering causal effects becomes a matter of compa…
Probability distributions for analog-to-target distances
Paul Platzer, Pascal Yiou, Philippe Naveau +3
Some properties of chaotic dynamical systems can be probed through features of recurrences, also called analogs. In practice, analogs are nearest neighbours of the state of a syste…
Using local dynamics to explain analog forecasting of chaotic systems
P Platzer, P. Yiou, P. Naveau +4
Analogs are nearest neighbors of the state of a system. By using analogs and their successors in time, one is able to produce empirical forecasts. Several analog forecasting method…
Multivariate Nonparametric Estimation of the Pickands Dependence Function using Bernstein Polynomials
G. Marcon, S. A. Padoan, P. Naveau +2
Many applications in risk analysis, especially in environmental sciences, require the estimation of the dependence among multivariate maxima. A way to do this is by inferring the P…
Detecting spatial patterns with the cumulant function. Part I: The theory
Alberto Bernacchia, Philippe Naveau
In climate studies, detecting spatial patterns that largely deviate from the sample mean still remains a statistical challenge. Although a Principal Component Analysis (PCA), or eq…