Rethinking Bivariate Causal Discovery Through the Lens of Exchangeability
Fuente:
arXiv
Guardado en:
| Autores principales: | Brogueira, Tiago, Figueiredo, Mário |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
por: Brogueira, Tiago, et al.
Publicado: (2026)
por: Brogueira, Tiago, et al.
Publicado: (2026)
LxCIM: a new rank-based binary classifier performance metric invariant to local exchange of classes
por: Brogueira, Tiago, et al.
Publicado: (2025)
por: Brogueira, Tiago, et al.
Publicado: (2025)
Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery
por: Ruiz, Marco, et al.
Publicado: (2026)
por: Ruiz, Marco, et al.
Publicado: (2026)
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
por: Drton, Mathias, et al.
Publicado: (2025)
por: Drton, Mathias, et al.
Publicado: (2025)
Valid causal inference with unobserved confounding in high-dimensional settings
por: Moosavi, Niloofar, et al.
Publicado: (2024)
por: Moosavi, Niloofar, et al.
Publicado: (2024)
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2024)
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2024)
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
por: Zhang, Yikun, et al.
Publicado: (2025)
por: Zhang, Yikun, et al.
Publicado: (2025)
Causal Q-Aggregation for CATE Model Selection
por: Lan, Hui, et al.
Publicado: (2023)
por: Lan, Hui, et al.
Publicado: (2023)
Using representation balancing to learn conditional-average dose responses from clustered data
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2023)
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2023)
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items
por: Pauphilet, Jean
Publicado: (2021)
por: Pauphilet, Jean
Publicado: (2021)
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
por: Fu, Minghao, et al.
Publicado: (2025)
por: Fu, Minghao, et al.
Publicado: (2025)
Orthogonal Learner for Estimating Heterogeneous Long-Term Treatment Effects
por: Ma, Haorui, et al.
Publicado: (2026)
por: Ma, Haorui, et al.
Publicado: (2026)
Representation of Context-Specific Causal Models with Observational and Interventional Data
por: Duarte, Eliana, et al.
Publicado: (2021)
por: Duarte, Eliana, et al.
Publicado: (2021)
Environment Invariant Linear Least Squares
por: Fan, Jianqing, et al.
Publicado: (2023)
por: Fan, Jianqing, et al.
Publicado: (2023)
Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines
por: Fokoué, Ernest
Publicado: (2026)
por: Fokoué, Ernest
Publicado: (2026)
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
por: Ma, Haorui, et al.
Publicado: (2025)
por: Ma, Haorui, et al.
Publicado: (2025)
Deep learning with missing data
por: Ma, Tianyi, et al.
Publicado: (2025)
por: Ma, Tianyi, et al.
Publicado: (2025)
Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
por: Dai, Chi-Shian, et al.
Publicado: (2026)
por: Dai, Chi-Shian, et al.
Publicado: (2026)
Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions
por: Ding, Yizhe, et al.
Publicado: (2024)
por: Ding, Yizhe, et al.
Publicado: (2024)
Causal discovery in heavy-tailed linear structural equation models via scalings
por: Krali, Mario
Publicado: (2025)
por: Krali, Mario
Publicado: (2025)
Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
por: Lafrance, Julien, et al.
Publicado: (2026)
por: Lafrance, Julien, et al.
Publicado: (2026)
Estimating large causal polytrees from small samples
por: Chatterjee, Sourav, et al.
Publicado: (2022)
por: Chatterjee, Sourav, et al.
Publicado: (2022)
Assimilative Causal Inference
por: Andreou, Marios, et al.
Publicado: (2025)
por: Andreou, Marios, et al.
Publicado: (2025)
Sensitivity Analysis of the Consistency Assumption
por: Knaeble, Brian, et al.
Publicado: (2025)
por: Knaeble, Brian, et al.
Publicado: (2025)
Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models
por: Knaeble, Brian, et al.
Publicado: (2024)
por: Knaeble, Brian, et al.
Publicado: (2024)
Single World Intervention Graphs as Distributions: A Framework for Causal Identification
por: Bartels, Christian
Publicado: (2026)
por: Bartels, Christian
Publicado: (2026)
A Structural Causal Model for Electronic Device Reliability: From Effects to Counterfactuals
por: Stefanini, Federico Mattia, et al.
Publicado: (2025)
por: Stefanini, Federico Mattia, et al.
Publicado: (2025)
Estimating Treatment Effects with Missings Not At Random in the Estimand Framework using Causal Inference
por: de Villa, A. Ruiz, et al.
Publicado: (2025)
por: de Villa, A. Ruiz, et al.
Publicado: (2025)
Bridging Prediction and Attribution: Identifying Forward and Backward Causal Influence Ranges Using Assimilative Causal Inference
por: Andreou, Marios, et al.
Publicado: (2025)
por: Andreou, Marios, et al.
Publicado: (2025)
The impact of job stability on monetary poverty in Italy: causal small area estimation
por: Reluga, Katarzyna, et al.
Publicado: (2025)
por: Reluga, Katarzyna, et al.
Publicado: (2025)
SHIFT: Robust Double Machine Learning for Average Dose-Response Functions under Heavy-Tailed Contamination
por: Uehara, Eichi
Publicado: (2026)
por: Uehara, Eichi
Publicado: (2026)
Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances
por: Strieder, David, et al.
Publicado: (2023)
por: Strieder, David, et al.
Publicado: (2023)
Decomposing Discrimination: Causal Mediation Analysis for AI-Driven Credit Decisions
por: Rajamanickam, Duraimurugan
Publicado: (2026)
por: Rajamanickam, Duraimurugan
Publicado: (2026)
Maximum Entropy Estimation of Heterogeneous Causal Effects
por: Knaeble, Brian, et al.
Publicado: (2024)
por: Knaeble, Brian, et al.
Publicado: (2024)
Rethinking Chronological Causal Discovery with Signal Processing
por: Butler, Kurt, et al.
Publicado: (2026)
por: Butler, Kurt, et al.
Publicado: (2026)
Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists
por: Henningsen, Arne, et al.
Publicado: (2025)
por: Henningsen, Arne, et al.
Publicado: (2025)
Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies
por: Ghosh, Aditya, et al.
Publicado: (2025)
por: Ghosh, Aditya, et al.
Publicado: (2025)
Dual Likelihood for Causal Inference under Structure Uncertainty
por: Strieder, David, et al.
Publicado: (2024)
por: Strieder, David, et al.
Publicado: (2024)
Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces
por: Kurisu, Daisuke, et al.
Publicado: (2025)
por: Kurisu, Daisuke, et al.
Publicado: (2025)
Geodesic Synthetic Control Methods for Random Objects and Functional Data
por: Kurisu, Daisuke, et al.
Publicado: (2025)
por: Kurisu, Daisuke, et al.
Publicado: (2025)
Ejemplares similares
-
Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
por: Brogueira, Tiago, et al.
Publicado: (2026) -
LxCIM: a new rank-based binary classifier performance metric invariant to local exchange of classes
por: Brogueira, Tiago, et al.
Publicado: (2025) -
Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery
por: Ruiz, Marco, et al.
Publicado: (2026) -
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
por: Drton, Mathias, et al.
Publicado: (2025) -
Valid causal inference with unobserved confounding in high-dimensional settings
por: Moosavi, Niloofar, et al.
Publicado: (2024)