Cover Image

Causal Discovery in Multivariate Extremes with a Hydrological Analysis of Swiss River Discharges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mhalla, Linda, Chavez-Demoulin, Valérie, Naveau, Philippe
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causality and extremes
by: Chavez-Demoulin, Valérie, et al.
Published: (2024)

Multivariate distributional modeling of low, moderate, and large intensities without threshold selection steps
by: Gaetan, Carlo, et al.
Published: (2025)

Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow
by: Pasche, Olivier C., et al.
Published: (2021)

Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
by: Pic, Romain, et al.
Published: (2024)

A duration-augmented binary Markov chain for rainfall occurrence with long dry spells
by: Doizé, Antoine, et al.
Published: (2026)

A Kullback-Leibler divergence test for multivariate extremes: theory and practice
by: Engelke, Sebastian, et al.
Published: (2026)

Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)

Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)

A Diagnostic Tool for Functional Causal Discovery
by: Prakash, Shreya, et al.
Published: (2024)

A Bayesian Framework for Multivariate Differential Analysis
by: Chion, Marie, et al.
Published: (2023)

Graph-constrained Analysis for Multivariate Functional Data
by: Dey, Debangan, et al.
Published: (2022)

Spatiotemporally Consistent Multivariate Bias Correction for Climate Projections via Nested Vine Copulas
by: Meier, Theresa, et al.
Published: (2026)

Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson's Disease
by: Pal, Samhita, et al.
Published: (2025)

Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)

Multivariate MRP
by: Goplerud, Max, et al.
Published: (2025)

Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
by: Yildirim, Cevahir, et al.
Published: (2025)

Causal Discovery on Dependent Mixed Data with Applications to Gene Regulatory Network Inference
by: Chen, Alex, et al.
Published: (2026)

A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
by: Shen, Andy A., et al.
Published: (2024)

Robust Multivariate Functional Control Chart
by: Capezza, Christian, et al.
Published: (2022)

An Adaptive Multivariate Functional Control Chart
by: Centofanti, Fabio, et al.
Published: (2025)

Multivariate reconciliation for hierarchical time series
by: Pinheiro, Ana Caroline, et al.
Published: (2026)

Statistics of Extremes for Neuroscience
by: Redondo, Paolo V., et al.
Published: (2024)

Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
by: Antonelli, Joseph, et al.
Published: (2024)

An Adaptive Multivariate Functional EWMA Control Chart
by: Capezza, Christian, et al.
Published: (2024)

Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)

Likelihood-Free Inference for Multivariate Generalized Pareto Models
by: Aka, Samira, et al.
Published: (2026)

Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model
by: Majumder, Reetam, et al.
Published: (2024)

Directional Dependence of Extreme Events
by: Garcin, Matthieu, et al.
Published: (2026)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)

Multivariate Functional Linear Discriminant Analysis: An Application to Inflammatory Bowel Disease Classification
by: Liu, Limeng, et al.
Published: (2025)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)

A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
by: Shin, Heejun, et al.
Published: (2024)

Network Modeling of Asynchronous Change-Points in Multivariate Time Series
by: McKee, Carson, et al.
Published: (2025)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
by: Cooper, Alysha, et al.
Published: (2025)

A Comparative Study of Imputation Methods for Multivariate Ordinal Data
by: Wongkamthong, Chayut, et al.
Published: (2020)

High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
by: Bai, Peiliang
Published: (2026)

Causal inference with a functional outcome
by: Ecker, Kreske, et al.
Published: (2023)

Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)

Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)