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1,205 records
- Generative Neural Networks for Sinkhorn Distributionally Robust Hypothesis Testing
- Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models
- Transporting Randomized Trial Effects to Real-World Populations via Riesz-Calibrated Optimal Transport
- Exact grid-free confidence-region computation from dependent p-value functions under arbitrary dependence
- Detection of Cognitive Diagnostic Model Misspecification using New Lancaster-Chesher Information Matrix Tests
- Sparse Additive Off-Policy Evaluation for Reinforcement Learning with Potentially Limited Number of Trajectories
- Estimating Pathway Treatment Effects in the Presence of Intermediate Events with Multi-State Data
- A general-purpose sensitivity method for multiple simultaneous parameter perturbations in stochastic reaction networks
- Optimal Variance Reduction in Randomized Experiments
- Separating Time-Varying Network Composition from Predictive Dependence under Noisy Network Measurement
- Dirichlet Process Mixtures of Trees with Gaussian Process Splits: A Bayesian Nonparametric Framework with Posterior Contraction Rate
- Spatial function-on-function quantile regression
- LABS: Extending the scope of binary segmentation via a look-ahead device
- Further Results on Controlling the False Discovery Rate in Two-Sided Gaussian Mean Testing
- Spectral partitioning for $k$-block averaging kernels of finite Markov chains
- A Data-Driven Approach to State Construction in Markov Models
- $K$-functions for point processes on complex surfaces
- A Sparse-Group Pliable Lasso
- Curvature-Calibrated Quasi-Bayesian Updating for Moment-Restricted Models
- A Bayesian Time-Varying SEIARD Model for State-Level COVID-19 Transmission and Mortality in the United States
- Fast high-dimensional mean testing via logistic regression
- A Complexity Bound for the Kent-Ganeiber-Mardia Sampler for the Bingham Distribution
- Robust Modeling of Extremes in the Presence of Inliers with Enhanced Tail Estimation
- Diffusion Models for High-Dimensional Clustered Data: Intrinsic-Dimension Adaptivity via Bayesian Classification
- Shape-Preserving Covariate Adjustment via Empirical Likelihood in Randomized Experiment
- Theoretical Study on the Evidential Learning-based Variational Autoencoder
- Online Generalized Sparse Regression: How Does Overparametrization Help?
- Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits
- Sobolev Regularized Score Difference Estimation in Diffusion Models
- A Self-Exciting Model of Eddy Formation at Submesoscale
- Diagonal Multi-omics Integration of Heterogeneous Datasets
- Randomized quasi-Monte Carlo integration
- Policy Optimization and Statistical Inference for Online Contextual Matrix Games
- Expressivity In Multimodal Contrastive Learning
- A Primer on Digital Health N-of-1 Studies and Single-Case Designs
- On Stopping Rules and Spatial Adaptation for CART
- Quantile-stratified sampling for multivariate normal simulations and other multivariate distributions
- A Unified Geometric Framework for Developmental Analysis of Spatial Transcriptomic Data
- Semi-supervised Concordance Learning for Optimal Individual Treatment Regimes
- Change Point Detection and Localization in High-Dimensional Time Series
- Bayesian Inference Procedures for A/B Testing: An Overview
- Huber-Wasserstein barycenters for robust distribution-valued data
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of Feature-Parameterized Inverse Optimal Transport via a Single Spectral Sandwich
- Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties, estimation, and applications
- Theoretical Properties of Covariate-Adaptive Randomization with a Diverging Number of Covariates
- Detection of Structural Distortions in Functional Time Series
- Efficient Response-Adaptive Randomization for Multi-arm Trials with Prioritized Composite Endpoints
- SSPO: Structure-Aware Similarity-Weighted Preference Optimization for Neural Combinatorial Optimization
- Duality and Error for Predictively Oriented Inference
- Graphical Models for Multivariate Count Data