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1,205 records
- Semiparametric efficient estimation of the Cox regression coefficient when there can be ties
- Estimating the perturbed utility route choice model with trip-level data
- When Unpaired Sets Support Shared-Corruption Calibration: Moment Geometry and Two-Sample Precision
- Distribution of hitting times for dissipative random dynamical systems on $\mathbb{R}^d$, with application to stochastic gradient descent
- Sparse Variable Sharpening in High-Dimensional Kernel Density Estimation
- Logarithmic-Free Moment and Generalization Bounds for Uniformly Stable Algorithms
- Statistical analysis of block structured latent variable models
- A Plasmode Benchmark Can Refute but Cannot Certify: Projection and Regularity in Causal-Inference Simulation
- Population-Level Generative Modeling for Ranking Data
- Multi-kernel spectral clustering: Entrywise eigenvector perturbation bounds and exact recovery
- A Least-Squares Approach to Sample-Based Prior Elicitation
- Sparse departures from independence in two-way tables: a heteroscedasticity profile and detection boundary, an adaptive higher-criticism gate, and an assumption-lean exact anchor
- Bridging Balancing Weights and Augmentation in Covariate-adjusted Analyses with Time-to-Event Endpoints: Theory and Practical Recommendations
- Mixture of Geodesic Factor Analyzers on Riemannian Homogeneous Spaces
- Stochastic gradient descent with discontinuity across a manifold
- Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning
- Optimal Rates for Learning with Monotone Adversaries
- Scalable estimation of VARMA models
- Bayesian Distilled Clustering for High-Dimensional Mixture Models
- Constructing Large Orthogonal Minimally Aliased Response Surface Designs Through Enumeration and Combination of Weighing Designs
- Nonparametric Goodness-of-fit Testing under Covariate Shift
- Risk-Aware Quantile Learning for Personalized Dynamic Treatment Regimes
- Confidence Horizons
- Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling
- Diffeomorphic Markov Chain Monte Carlo: fast mixing for heavy-tailed distributions
- Method of Moments Estimation of High-Dimensional Covariance Using a Parametric Model
- Wasserstein mixing time of the unadjusted Langevin algorithm
- Computational and Statistical Guarantees of the \textit{c}-Rectified flow
- Interaction Is Not Necessary for Order-Optimal 1-Bit Mean Estimation
- DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing
- A Hyperfinite Framework for Score-Based Generative Modeling
- Calibrated Bayesian Inference for Stochastic Intervention Effects
- Statistical inference of a competing risks model based on improved adaptive type-II progressive censored data under Gompertz lifetime distribution
- Random Inverse Problems with Structural and Probabilistic Ambiguities
- Augmented Inverse Hybrid Weighting: Robust Inference under Deterministic and Random Distribution Shifts
- Distance Profile Embedding for Independence and Conditional Independence Testing of Random Objects
- Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs
- Projection, Memory, and the Validity of Scalar Early-Warning Signals: A Schur--Volterra Theory with an AMOC Application
- A Mathematical Framework for Topological Causal Data Analysis
- Non-partitioned e-detectors for nonparametric sequential change detection
- Origins and mitigation of double descent in reduced order modeling
- Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
- An association measure for mixed-type variables
- Uniform Convergence of Generalized Conditional Fréchet Means with Applications to Weighted Fréchet Aggregation and Exceedance Set Estimation
- Feature Bagging Provides Stability
- Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics
- Generalised Robust Bayes for Joint Inference of Model and Contamination
- Retrospective Orthogonal Design: Response-Surface Reconstruction from Observational Data
- Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD
- Local Fréchet Regression with Riemannian Predictors