Latest Research in Methodology

Top Research Topics in Methodology

• Methodology — 10 papers
• Machine Learning — 8 papers
• Statistical Methods and Inference — 2 papers
• Scientific Computing and Data Management — 2 papers
• Bayesian Modeling and Causal Inference — 2 papers
• Statistical Mechanics and Entropy — 1 papers
• Advanced Causal Inference Techniques — 1 papers
• Econometrics — 1 papers
• Artificial Intelligence — 1 papers
• Gene expression and cancer classification — 1 papers

Highest-Cited Papers

1. Zulfia Laws of Statistical Estimation: Φ-Force Over Information Curvature
2. EEDML-HTE: A Fuzzy Bayesian Exposure Modeling Framework for Heterogeneous Causal Effect Estimation
3. Conformalized Lee Inference: Distribution-Free Prediction Sets for Individual Treatment Effect under Monotone Sample Selection
4. Scaling-Score Conformal Prediction for Multi-Target Regression
5. Efficient estimation and the cost of complete-case coarsening under monotone sequential MAR
6. Benchmarking Dimensionality Reduction Methods for Livestock Transcriptomic Data: A Comparative Analysis of Visualization, Clustering, and Classification Performance
7. Conformal Individual Treatment Effect Estimation under Networked Interference
8. Credible Bounds for Causal Quantities with Continuous Outcomes
9. A Gamma–Lindley q-distribution for deep probabilistic regression of positive data
10. COINS: Any-Stage-Valid and Utility-Oriented Sequential Conformal Prediction
11. Conditional Validity for Adaptive Modality Acquisition: When the Policy Chooses Its Own Calibration Group
12. Learning Polyhedral Conformal Sets for Robust Optimization
13. Representation Learning for Sample-Efficient CATE Estimation by Leveraging Multiple Outcomes
14. Conformal Prediction Intervals for Semi-Functional Partial Linear Regression Under β-Mixing Dependence
15. Exact grid-free confidence-region computation from dependent p -value functions under arbitrary dependence
16. Beyond Prediction: Conformal Inference for Latent Distributional Parameters
17. Reparameterization through Coverings and Topological Weight Priors
18. SpiralHelios: A Deterministic Non-Training Artificial Intelligence Architecture for Source-Governed Reasoning and Public-Safe Validation
19. SpiralHelios: A Deterministic Non-Training Artificial Intelligence Architecture for Source-Governed Reasoning and Public-Safe Validation
20. Algebraic Geometric Empirical Process (AGEP) Theory of Deep Learning Dynamics