1,205 records
- Asymptotic theory of rerandomization for survival analysis
- Inference of Online Newton Methods with Nesterov's Accelerated Sketching
- A theory of ROC analysis of rule-out and rule-in diagnostics with applications to mammography data
- Concave Statistical Utility Maximization Bandits via Influence-Function Gradients
- Testing independence in the presence of missing data: high-dimensional case
- CLT-Optimal Parameter Error Bounds for Linear System Identification
- Does PCA Work for Rough Functional Data?
- Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions
- Betting on Bets: Anytime-Valid Tests for Stochastic Dominance
- Nonparametric f-Modeling for Empirical Bayes Inference with Unequal and Unknown Variances
- A goodness-of-fit test for the logistic propensity score model under nonignorable missing data
- Beyond Bellman: High-Order Generator Regression for Continuous-Time Policy Evaluation
- The General Formulation of Loss-Based Priors for Parameter Spaces
- Analytical Extraction of Conditional Sobol' Indices via Basis Decomposition of Polynomial Chaos Expansions
- Weighted Holm Procedures: Theory, Properties, and Recommendations
- Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
- Subsample-Based Estimation under Dynamic Contamination
- A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
- Adaptive Kernel Selection for Kernelized Diffusion Maps
- Random Matrix Theory of Early-Stopped Gradient Flow: A Transient BBP Scenario
- Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks
- A Null Model for Mapper Subtype Claims
- A Mechanism Study of Delayed Loss Spikes in Batch-Normalized Linear Models
- Extraction of informative statistical features in the problem of forecasting time series generated by It{ô}-type processes
- Testing and estimation of the index of stability of univariate and bivariate symmetric $α-$stable distributions via modified Greenwood statistic
- Strang splitting estimator for nonlinear multivariate stochastic differential equations with Pearson-type multiplicative noise
- HASOD: A Hybrid Adaptive Screening-Optimization Design for High-Dimensional Industrial Experiments
- Model Checking for Regressions Based on Weighted Residual Processes with Diverging Number of Predictors
- Theta-regularized Kriging: Modelling and Algorithms
- Structural interpretability in SVMs with truncated orthogonal polynomial kernels
- One-Shot Generative Flows: Existence and Obstructions
- Robust Low-Rank Tensor Completion based on M-product with Weighted Correlated Total Variation and Sparse Regularization
- Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
- $p$-adic Linear Regression for Random Sampling with Digitwise Noise
- Adaptive Learning via Off-Model Training and Importance Sampling for Fully Non-Markovian Optimal Stochastic Control. Complete version
- Rare Event Analysis via Stochastic Optimal Control
- Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
- Addressing Confounding by Indication Through (Un)Measured Centre Characteristics in Learn-As-you-GO(LAGO) Trials
- Cyclic fractional Gaussian noise: time and frequency domain properties
- Cost-optimal Sequential Testing via Doubly Robust Q-learning
- Extended One-Liners for the Beta, Gamma, and Dirichlet Distributions with Shape Parameters Below One
- ADD for Multi-Bit Image Watermarking
- NetworkNet: A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity
- Inferring Change Points in Regression via Sample Weighting
- On the continuum limit of t-SNE for data visualization
- Reliability estimation in dependent stress-strength model with Clayton copula and modified Weibull margins
- Tail-Aware Information-Theoretic Bounds for LLM Alignment under Heavy-Tailed Rewards
- Toward Exact Convergence in Byzantine-Robust Decentralized Learning: A Statistical Identification Approach
- Uncertainty Quantification for Noisy Low-tubal-rank Tensor Completion
- Online Quantile Regression for Nonparametric Additive Models