1,205 records
- Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget
- Introducing the b-value: combining unbiased and biased estimators from a sensitivity analysis perspective
- Generalised Linear Models Driven by Latent Processes: Asymptotic Theory and Applications
- First versus full or first versus last: U-statistic change-point tests under fixed and local alternatives
- M-estimation under Two-Phase Multiwave Sampling with Applications to Prediction-Powered Inference
- Space-filling lattice designs for computer experiments
- Functional Central Limit Theorem for Stochastic Gradient Descent
- Fixed-Horizon Self-Normalized Inference for Adaptive Experiments via Martingale AIPW/DML with Logged Propensities
- Profiling vs. Case-specific Evidence: A Probabilistic Analysis
- Constrained and Composite Sampling via Proximal Sampler
- A Bayesian Approach to Low-Discrepancy Subset Selection
- Weak Poincaré inequalities for two-component Deterministic-scan Metropolis-within-Gibbs samplers
- Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
- Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting
- MPL-HMC: A Tunable Parameterized Leapfrog Framework for Robust Hamiltonian Monte Carlo
- Estimation and Inference of the Win Ratio for Two Hierarchical Endpoints Subject to Censoring and Missing Data
- Linear Regression with Unknown Truncation Beyond Gaussian Features
- Some bivariate distributions on a discrete torus with application to wind direction datasets
- A unified testing approach for log-symmetry using Fourier methods
- Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes
- Random Forests as Statistical Procedures: Design, Variance, and Dependence
- AdaGrad-Diff: A New Version of the Adaptive Gradient Algorithm
- Detecting Parameter Instabilities in Functional Concurrent Linear Regression
- Representation Learning with Blockwise Missingness and Signal Heterogeneity
- Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection
- Provable Offline Reinforcement Learning for Structured Cyclic MDPs
- Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
- Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
- Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise
- From Collapse to Improvement: Statistical Perspectives on the Evolutionary Dynamics of Iterative Training on Contaminated Sources
- Statistical Inference and Learning for Shapley Additive Explanations (SHAP)
- Robust Assortment Optimization from Observational Data
- A closed form solution for Bayesian analysis of a simple linear mixed model
- Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks
- Constrained Fiducial Inference for Gaussian Models
- Large Scale High-Dimensional Reduced-Rank Linear Discriminant Analysis
- Is Memorization Helpful or Harmful? Prior Information Sets the Threshold
- The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It
- Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
- Estimating the Shannon Entropy Using the Pitman--Yor Process
- Schrödinger bridge problem via empirical risk minimization
- Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
- Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models
- Coherent Information Deletion: Bayesian, Generalized Bayesian and Possibilistic Unlearning
- Adaptive Experimental Design Using Shrinkage Estimators
- Finite-Particle Rates for Regularized Stein Variational Gradient Descent
- Total Variation Rates for Riemannian Flow Matching
- Radon--Wasserstein Gradient Flows for Interacting-Particle Sampling in High Dimensions
- Logarithmic-time Schedules for Scaling Language Models with Momentum
- A Flexible Modeling of Extremes in the Presence of Inliers