Copertina

Extremes of structural causal models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Engelke, Sebastian, Gnecco, Nicola, Röttger, Frank
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Extrapolation in Statistical Learning with Extreme Value Theory
di: Engelke, Sebastian, et al.
Pubblicazione: (2026)

Graphical models for multivariate extremes
di: Engelke, Sebastian, et al.
Pubblicazione: (2024)

Lévy graphical models
di: Engelke, Sebastian, et al.
Pubblicazione: (2024)

Extremal graphical modeling with latent variables via convex optimization
di: Engelke, Sebastian, et al.
Pubblicazione: (2024)

Latent Gaussian and Hüsler--Reiss Graphical Models with Golazo Penalty
di: Rodríguez, Ignacio Echave-Sustaeta, et al.
Pubblicazione: (2024)

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

Extremal Random Forests
di: Gnecco, Nicola, et al.
Pubblicazione: (2022)

Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
di: Wang, Rui, et al.
Pubblicazione: (2026)

Finite sample-optimal adjustment sets in linear Gaussian causal models
di: Rutsch, Nadja, et al.
Pubblicazione: (2025)

The causal interpretation of acceleration factors
di: Brathovde, Mari, et al.
Pubblicazione: (2024)

Conditional Extremes with Graphical Models
di: Farrell, Aiden, et al.
Pubblicazione: (2024)

Identifiability of causal effects with non-Gaussianity and auxiliary covariates
di: Shuai, Kang, et al.
Pubblicazione: (2023)

Estimation of causal dose-response functions under data fusion
di: Lim, Jaewon, et al.
Pubblicazione: (2025)

Design-based inference for generalized causal effects in randomized experiments
di: Chen, Xinyuan, et al.
Pubblicazione: (2026)

Partial identification of principal causal effects under violations of principal ignorability
di: Wu, Minxuan, et al.
Pubblicazione: (2024)

Extremes in High Dimensions: Methods and Scalable Algorithms
di: Lederer, Johannes, et al.
Pubblicazione: (2023)

A Flexible Modeling of Extremes in the Presence of Inliers
di: Nila, Shivshankar, et al.
Pubblicazione: (2026)

Embedding Network Autoregression for time series analysis and causal peer effect inference
di: Chang, Jae Ho, et al.
Pubblicazione: (2024)

Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
di: Chen, Xinyuan, et al.
Pubblicazione: (2026)

The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters
di: Moosavi, Niloofar, et al.
Pubblicazione: (2021)

Continuous-time structural failure time model for intermittent treatment
di: Wang, Guanbo, et al.
Pubblicazione: (2024)

Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
di: Ung, Lawson, et al.
Pubblicazione: (2024)

A fine-grained look at causal effects in causal spaces
di: Park, Junhyung, et al.
Pubblicazione: (2025)

Modeling Extreme Events in the Presence of Inlier: A Mixture Approach
di: Nila, Shivshankar, et al.
Pubblicazione: (2025)

Structural Causal Models for Extremes: an Approach Based on Exponent Measures
di: Bai, Shuyang, et al.
Pubblicazione: (2025)

KL-BSS: Rethinking optimality for neighbourhood selection in structural equation models
di: Gao, Ming, et al.
Pubblicazione: (2023)

Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
di: Zhang, Xuhui, et al.
Pubblicazione: (2023)

Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
di: Eichhorn, Matthew, et al.
Pubblicazione: (2024)

Estimation of the complier causal hazard ratio under dependent censoring
di: Crommen, Gilles, et al.
Pubblicazione: (2025)

XT-REM: A Two-Component Model for Meta-Analysis of Extreme Event Proportions
di: Dedeić, Jovana, et al.
Pubblicazione: (2026)

Sharp variance estimator and causal bootstrap in stratified randomized experiments
di: Yu, Haoyang, et al.
Pubblicazione: (2024)

Testing common structure in high-dimensional factor models: change-point and two-sample procedures
di: Düker, Marie-Christine, et al.
Pubblicazione: (2024)

Graphical models for infinite measures with applications to extremes
di: Engelke, Sebastian, et al.
Pubblicazione: (2022)

A New Regression Model for Analyzing Non-Stationary Extremes in Response and Covariate Variables with an Application in Meteorology
di: Bernoussi, Amina El, et al.
Pubblicazione: (2025)

Unifying regression-based and design-based causal inference in time-series experiments
di: Lin, Zhexiao, et al.
Pubblicazione: (2025)

A structural nested rate model for estimating the effects of time-varying exposure on recurrent event outcomes in the presence of death
di: Mork, Daniel, et al.
Pubblicazione: (2025)

Inverting estimating equations for causal inference on quantiles
di: Cheng, Chao, et al.
Pubblicazione: (2024)

Empirical Bayes factors for common hypothesis tests
di: Dudbridge, Frank
Pubblicazione: (2023)

On inference for modularity statistics in structured networks
di: Mitra, Anirban, et al.
Pubblicazione: (2024)

Prior distributions for structured semi-orthogonal matrices
di: Jauch, Michael, et al.
Pubblicazione: (2025)