Functional Causal Discovery via Conditional Covariance Ordering

arXiv:2609.27256 · stat.ME, stat.ML · Submitted 2026-09-23 · Read on arXiv

stat.ME, stat.ML

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Consistency — 15× in this paper · explained in 3 episodes
• Causal Discovery — 14× in this paper · explained in 2 episodes
• F1 Score — 7× in this paper · explained in 3 episodes
• Hamming Distance — 4× in this paper · explained in 2 episodes
• Hilbert Space — 4× in this paper · explained in 2 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Causal Inference — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Functional Linear Non-Gaussian Bayesian — 1× in this paper
• Non-Gaussianity — 1× in this paper · explained in 2 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Related papers

• Doubly robust inference via calibration
• Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
• Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
• Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance
• A Survey on Archetypal Analysis
• Dynamic Spatial Bayesian Machine Learning Model: Applications to Intergenerational Economic Mobility and Geographic Income Inequality in the United States