Causal Discovery in Structural VAR Models Under Equal Noise Variance
Fuente:
arXiv
Saved in:
| Main Authors: | HasanAbadi, SeyedSina Seyedi, Arab, Fahimeh, Nozari, Erfan, Ghassami, AmirEmad |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model-Robust Direct Effect Under Confounder-Mediator Ambiguity
by: Ghassami, AmirEmad
Published: (2026)
by: Ghassami, AmirEmad
Published: (2026)
A Sensitivity Analysis Framework for Causal Inference Under Interference
by: Ortyashov, Matvey, et al.
Published: (2025)
by: Ortyashov, Matvey, et al.
Published: (2025)
Causal Imitation Learning Under Measurement Error and Distribution Shift
by: Bo, Shi, et al.
Published: (2026)
by: Bo, Shi, et al.
Published: (2026)
Bias-Targeted Nonparametric Balancing for Stable Causal Mediation Analysis
by: Liu, Chang, et al.
Published: (2024)
by: Liu, Chang, et al.
Published: (2024)
Semiparametric Triple Difference Estimators
by: Akbari, Sina, et al.
Published: (2025)
by: Akbari, Sina, et al.
Published: (2025)
Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023)
by: Ghassami, AmirEmad, et al.
Published: (2023)
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
by: Lee, Jaron J. R., et al.
Published: (2024)
by: Lee, Jaron J. R., et al.
Published: (2024)
A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects
by: Bo, Shi, et al.
Published: (2024)
by: Bo, Shi, et al.
Published: (2024)
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
by: Wang, Zixiao, et al.
Published: (2023)
by: Wang, Zixiao, et al.
Published: (2023)
Causal Data Fusion for Panel Data without a Pre-Intervention Period
by: Yang, Zou, et al.
Published: (2024)
by: Yang, Zou, et al.
Published: (2024)
Debiased Ill-Posed Regression
by: Ghassami, AmirEmad, et al.
Published: (2025)
by: Ghassami, AmirEmad, et al.
Published: (2025)
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)
by: Ghassami, AmirEmad, et al.
Published: (2022)
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
by: Yang, Yuqin, et al.
Published: (2024)
by: Yang, Yuqin, et al.
Published: (2024)
Multiply Robust Causal Mediation Analysis with Continuous Treatments
by: Xu, Yizhen, et al.
Published: (2021)
by: Xu, Yizhen, et al.
Published: (2021)
Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances
by: Strieder, David, et al.
Published: (2023)
by: Strieder, David, et al.
Published: (2023)
Differentiable Causal Discovery of Linear Non-Gaussian Acyclic Models Under Unmeasured Confounding
by: Morinishi, Yoshimitsu, et al.
Published: (2025)
by: Morinishi, Yoshimitsu, et al.
Published: (2025)
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
by: Yin, Naiyu, et al.
Published: (2023)
by: Yin, Naiyu, et al.
Published: (2023)
A Causal Formulation of Spike-Wave Duality
by: Jalaldoust, Kasra, et al.
Published: (2025)
by: Jalaldoust, Kasra, et al.
Published: (2025)
Structural Causality-based Generalizable Concept Discovery Models
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
by: Sethuraman, Muralikrishnna G., et al.
Published: (2025)
by: Sethuraman, Muralikrishnna G., et al.
Published: (2025)
Causal Variance Decompositions for Measuring Health Inequalities
by: Yu, Lin, et al.
Published: (2025)
by: Yu, Lin, et al.
Published: (2025)
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
by: Lin, Yingyu, et al.
Published: (2024)
by: Lin, Yingyu, et al.
Published: (2024)
Causal Discovery Under Local Privacy
by: Binkytė, Rūta, et al.
Published: (2023)
by: Binkytė, Rūta, et al.
Published: (2023)
Distributed Causality in the SDG Network: Evidence from Panel VAR and Conditional Independence Analysis
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
Ridge Regularized Estimation of VAR Models for Inference
by: Ballarin, Giovanni
Published: (2021)
by: Ballarin, Giovanni
Published: (2021)
Joint Learning of Panel VAR models with Low Rank and Sparse Structure
by: Xu, Yuchen, et al.
Published: (2025)
by: Xu, Yuchen, et al.
Published: (2025)
Nonlinear Causal Discovery with Confounders
by: Li, Chunlin, et al.
Published: (2023)
by: Li, Chunlin, et al.
Published: (2023)
Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
by: Zhang, Xinyi, et al.
Published: (2022)
by: Zhang, Xinyi, et al.
Published: (2022)
High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
by: Bai, Peiliang
Published: (2026)
by: Bai, Peiliang
Published: (2026)
On GEE for Mean-Variance-Correlation Models: Variance Estimation and Model Selection
by: Xu, Zhenyu, et al.
Published: (2024)
by: Xu, Zhenyu, et al.
Published: (2024)
Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
by: Boushehrian, Arefe, et al.
Published: (2026)
by: Boushehrian, Arefe, et al.
Published: (2026)
Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Causal-learn: Causal Discovery in Python
by: Zheng, Yujia, et al.
Published: (2023)
by: Zheng, Yujia, et al.
Published: (2023)
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
by: Schkoda, Daniela, et al.
Published: (2024)
by: Schkoda, Daniela, et al.
Published: (2024)
Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints
by: Okuda, Tadahisa, et al.
Published: (2026)
by: Okuda, Tadahisa, et al.
Published: (2026)
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
by: Brouillard, Philippe, et al.
Published: (2024)
by: Brouillard, Philippe, et al.
Published: (2024)
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
Improving Finite Sample Performance of Causal Discovery by Exploiting Temporal Structure
by: Bang, Christine W, et al.
Published: (2024)
by: Bang, Christine W, et al.
Published: (2024)
Multi-Domain Causal Discovery in Bijective Causal Models
by: Jalaldoust, Kasra, et al.
Published: (2025)
by: Jalaldoust, Kasra, et al.
Published: (2025)
Local Causal Discovery for Estimating Causal Effects
by: Gupta, Shantanu, et al.
Published: (2023)
by: Gupta, Shantanu, et al.
Published: (2023)
Similar Items
-
Model-Robust Direct Effect Under Confounder-Mediator Ambiguity
by: Ghassami, AmirEmad
Published: (2026) -
A Sensitivity Analysis Framework for Causal Inference Under Interference
by: Ortyashov, Matvey, et al.
Published: (2025) -
Causal Imitation Learning Under Measurement Error and Distribution Shift
by: Bo, Shi, et al.
Published: (2026) -
Bias-Targeted Nonparametric Balancing for Stable Causal Mediation Analysis
by: Liu, Chang, et al.
Published: (2024) -
Semiparametric Triple Difference Estimators
by: Akbari, Sina, et al.
Published: (2025)