7 citations · 18 across the 21 of their papers we have counts for
3 papers · 1 filter
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…
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
Ilia Azizi, Marc-Olivier Boldi, Valérie Chavez-Demoulin
This work introduces the Supervised Expectation-Maximization Framework (SEMF), a versatile and model-agnostic approach for generating prediction intervals with any ML model. SEMF e…
Causality and extremes
Valérie Chavez-Demoulin, Linda Mhalla
In this work, we summarize the state-of-the-art methods in causal inference for extremes. In a non-exhaustive way, we start by describing an extremal approach to quantile treatment…