7 citations · 18 across the 21 of their papers we have counts for
3 papers · 1 filter
Discovering demographic data of users from the evolution of their spatio-temporal entropy
Arielle Moro, Benoît Garbinato, Valérie Chavez-Demoulin
Inferring information related to users enables to highly improve the quality of many mobile services. For example, knowing the demographic characteristics of a user allows a servic…
Exceedance-based nonlinear regression of tail dependence
Linda Mhalla, Thomas Opitz, Valérie Chavez-Demoulin
The probability and structure of co-occurrences of extreme values in multivariate data may critically depend on auxiliary information provided by covariates. In this contribution,…
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska, Valérie Chavez-Demoulin, Thibault Vatter
Causal inference using observational data is challenging, especially in the bivariate case. Through the minimum description length principle, we link the postulate of independence…