Latest Research in Statistical Methods and Inference

Top Research Topics in Statistical Methods and Inference

• Methodology — 5 papers
• Statistical Methods and Inference — 4 papers
• Bayesian Methods and Mixture Models — 2 papers
• Econometrics — 2 papers
• Machine Learning — 2 papers
• Machine Learning — 1 papers
• Optimization and Control — 1 papers
• Statistics Theory — 1 papers
• Face and Expression Recognition — 1 papers
• Structural Health Monitoring Techniques — 1 papers

Highest-Cited Papers

1. Approximate Factor Models for Functional Time Series
2. Modeling multivariate lattice data with Dirichlet process mixture spatial random effects
3. Online Gradient Computation for Warping Gaussian Process Transformations
4. Distributed Selective Inference for Quantile Regression
5. Conformal-DRO: Distributionally Robust Optimization with Conformalized Ambiguity Set
6. Bayesian estimation of clustering structures in binned data
7. Estimation of Linear Functionals in Multilayer Panels under Staggered Adoption
8. HiMAP: Hilbert Mass-Addressed Parameterization for Multivariate Barycenters and Frećhet Regression
9. Fixed-smoothing Uniform Inference for Quantile Regression
10. Valid inference for regression with best subset selection
11. Distributed optimal subsampling inference for the additive hazards model with massive survival data
12. Iterative distributed multinomial regression
13. Automatic knot selection in smooth additive models
14. Stein's method for marginals on large graphical models
15. Geodesic Difference-in-Differences
16. Learning Nonparametric Conditional Single-Index U-Processes for Missing Locally Stationary Functional Random Fields with Stochastic Spatial Design
17. The Global Maximum Point Invariance Theorem: A Statistical Invariant Theory of Structural Break Detection — Unified Shape Function, Standardized Limits, and Multi-Regime Generalization
18. On efficiency gains via augmenting a tiny sample with a massive auxiliary sample
19. Iterative Distributed Multinomial Regression
20. Second-Order Sparse Sufficient Dimension Reduction with Applications to Quadratic Discriminant Analysis