Latest Research in Statistics Theory
35 research papers · 2026 median publication year
Top Research Topics in Statistics Theory
- Statistics Theory — 8 papers
- Optimization and Control — 6 papers
- Methodology — 4 papers
- Machine Learning — 3 papers
- Machine Learning — 3 papers
- Statistical Mechanics and Entropy — 2 papers
- Numerical Analysis — 2 papers
- Information Theory — 2 papers
- Econometrics — 1 papers
- Portfolio Management — 1 papers
Highest-Cited Papers
- Invariant Statistical Inference: A Framework Beyond Classical Statistical Inference
- Entropies and Negentropies from f -Divergences and Their Application to Dimensionality Reduction
- When Is Neyman-Orthogonal Inference Feasible? Existence and Relevance
- A Weighted Kernel Method for Approximation that Adapts to Learned Multivariable Structure
- Pitman closest equivariant estimators under multivariate scale and location--scale models
- Learning under Target Shift: Optimal Density Ratio Estimation and Importance-Weighted Regression
- AdGT: Decentralized Gradient Tracking with Adaptive Per-Agent Stepsizes
- Separated Signal Libraries: Packing, Saturation, and Joint Spectral Limits
- Data sparse multilevel covariance estimation in optimal complexity
- Kantorovich Regression Analysis of Random Distributions with Mixed Predictors
- Convergence of Stochastic Gradient Methods under Heavy-Tailed Noise and Hölder Smoothness
- Data sparse multilevel covariance estimation in optimal complexity
- Central limit theorems and bootstrap for sparse regularized multimarginal optimal transport and barycenters
- Statistical Inference for Persistence Diagrams via Landmark Embeddings: Minimax Theory and Finite Approximation
- Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks
- A new perspective on centroid algorithms for unsupervised discrete clustering in Riemannian manifolds: an approach via optimization
- Low-rank matrix recovery landscapes beyond RIP with application to rank-one measurements
- Moment Relaxations for Data-Driven Wasserstein Distributionally Robust Optimization
- Finite-sample nonparametric mean tests: Leave-one-out duality and asymptotic optimality
- Statistical Inference for Probability Barycenters and Kolmogorov Moments