arXiv Statistics @arxiv_stats@qoto.org

Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance https://arxiv.org/abs/2602.17772 #stat.ME #cs.LG

Topological Exploration of High-Dimensional Empirical Risk Landscapes: general approach, and applications to phase retrieval https://arxiv.org/abs/2602.17779 #cond-mat.dis-nn #stat.ML #cs.LG

Spatial Confounding: A review of concepts, challenges, and current approaches https://arxiv.org/abs/2602.17792 #stat.ME

Drift Estimation for Stochastic Differential Equations with Denoising Diffusion Models https://arxiv.org/abs/2602.17830 #stat.ML #cs.LG

Interactive Learning of Single-Index Models via Stochastic Gradient Descent https://arxiv.org/abs/2602.17876 #stat.ML #math.ST #stat.TH #cs.LG

Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget https://arxiv.org/abs/2602.17894 #stat.ML #math.ST #stat.TH #cs.LG

Central limit theorem for the global clustering coefficient of random geometric graphs https://arxiv.org/abs/2602.17896 #math.ST #stat.OT #stat.TH

Data-driven configuration tuning of glmnet to balance accuracy and computation time https://arxiv.org/abs/2602.17922 #stat.CO #stat.ME #stat.ML

Model Error Embedding with Orthogonal Gaussian Processes https://arxiv.org/abs/2602.17923 #stat.ME #math.NA #stat.CO #cs.NA

A variational framework for modal estimation https://arxiv.org/abs/2602.17956 #stat.ME #math.ST #stat.CO #stat.TH

Evidence for Daily and Weekly Periodic Variability in GPT-4o Performance https://arxiv.org/abs/2602.15889 #physics.ed-ph #stat.AP #cs.AI #cs.CL

Nonparametric Identification and Inference for Counterfactual Distributions with Confounding https://arxiv.org/abs/2602.15916 #stat.ME #stat.ML

Generalized Leverage Score for Scalable Assessment of Privacy Vulnerability https://arxiv.org/abs/2602.15919 #stat.ML #cs.AI #cs.LG

Including Node Textual Metadata in Laplacian-constrained Gaussian Graphical Models https://arxiv.org/abs/2602.15920 #stat.ML #eess.SP #cs.LG

Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation https://arxiv.org/abs/2602.15925 #stat.ML #cs.LG

Competing Risk Analysis in Cardiovascular Outcome Trials: A Simulation Comparison of Cox and Fine-Gray Models https://arxiv.org/abs/2602.16031 #stat.ME #stat.AP

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test https://arxiv.org/abs/2602.16040 #stat.ME

Predictive Subsampling for Scalable Inference in Networks https://arxiv.org/abs/2602.16041 #stat.ME

Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models https://arxiv.org/abs/2602.16061 #stat.ML #econ.EM #stat.ME #cs.LG

Quantifying and Attributing Submodel Uncertainty in Stochastic Simulation Models and Digital Twins https://arxiv.org/abs/2602.16099 #stat.CO #stat.ME #stat.ML