Latest Research in Statistical Methods and Inference

Top Research Topics in Statistical Methods and Inference

• Machine Learning — 6 papers
• Statistics Theory — 4 papers
• Machine Learning — 3 papers
• Methodology — 3 papers
• Statistical Methods and Inference — 3 papers
• Bayesian Methods and Mixture Models — 2 papers
• Random Matrices and Applications — 1 papers
• Differential Geometry — 1 papers
• Survey Sampling and Estimation Techniques — 1 papers
• Crime Patterns and Interventions — 1 papers

Highest-Cited Papers

1. Rethinking Mean Square Error: Information, Generalized Estimation, and the James–Stein Paradox (1 citations)
2. Gap-Entropy Testing (GET): A Framework for Structural and Distributional Differences
3. Hypothesis testing of covariance matrices in high-dimensional elliptical models
4. Special Lagrangian cones in Deep Learning
5. Preservation of Log-Concavity and Convergence of Wasserstein-Fisher-Rao Gradient Flows
6. A General Kernel Framework for Non-CND Distance Measures Using |D|-Dimensional Sparse Landmark Embeddings
7. Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization
8. Bayesian Quadrature
9. Fast distance computation of multivariate distributions via nonparanormal transport
10. Which Class Is Stronger? A Bayesian Solution to a Class-Identification Problem
11. Solving Finite-sum Coupled Compositional Optimization via Multi-block-Single-probe Estimator
12. On new omnibus tests of uniformity on the hypersphere
13. Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion
14. Nearly-minimax variance estimation under rough random design
15. Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms
16. A Principal Component-based Goodness-of-Fit Test for Conditional Distributions
17. The weak-feature-impact phase transition of the NPMLE in monotone binary regression
18. Tail Estimation via Sample Splitting: A Two-Sample Framework for Stable-like Distributions
19. Inferential methods for the spherical-Dirichlet distribution
20. Shock models governed by the mixed poisson process with Pareto mixing variable