Latest Research in Advanced Causal Inference Techniques

Top Research Topics in Advanced Causal Inference Techniques

• Machine Learning — 5 papers
• Statistics Theory — 3 papers
• Advanced Causal Inference Techniques — 2 papers
• Methodology — 2 papers
• Bayesian Modeling and Causal Inference — 1 papers
• Functional Analysis — 1 papers
• Optimization and Control — 1 papers
• Distributed Sensor Networks and Detection Algorithms — 1 papers
• Numerical Analysis — 1 papers
• Systems and Control — 1 papers

Highest-Cited Papers

1. Hierarchical Evidence Calculus (HEC): A Meta-Statistical Framework Unifying Frequentist and Bayesian Paradigms
2. Next-token functional estimation
3. A Framework for Supervised and Unsupervised Learning via Reproducing Kernel Hilbert Spaces
4. Prediction with Five Experts and Geometric Stopping: A Probabilistic Construction and Analytic Verification
5. Bernstein-smoothed estimation and bootstrap inference for the lower-tail Spearman's rho curve
6. Resolution-Independent Analysis of Encoder--Decoder Operator Learning via Limiting Kernels
7. Dependent Samples Break pass@k: An Impossibility Theorem for Unbiased Estimation, and the Estimand That Survives
8. L² Sufficiency Theorem under Functional Regime Switching: X-Dependent Convex Combination, Detection Information Loss, Spectral Weighted Sufficiency, and Detection Resolution–Information Lower Bound Duality
9. The Zero Pattern of a Design Matrix Drives Multiple Descent in Over-parameterized Regression
10. Configuration-Dependent Lower Bounds for Approximation by Shallow ReLU$^k$ Networks on the Sphere
11. Dependent Samples Break pass@k: An Impossibility Theorem for Unbiased Estimation, and the Estimand That Survives
12. Multivariate linear regression without prior assumptions
13. A binary factor model
14. Choosing the Dictionary and Penalty for IV-LASSO
15. A Central Limit Theorem for the permutation importance measure
16. Online simultaneous inference for quantiles via smoothed stochastic gradient descent
17. Clustering Three-Way Data with Outliers
18. Adaptable High-Dimensional Change Point Detection via Ridge Regularization
19. Test of partial effects for Frechet regression on Bures-Wasserstein manifolds
20. Normalized Probabilistic Semantics is Not Associative