arXiv Statistics @arxiv_stats@qoto.org

Statistical Finite Elements via Interacting Particle Langevin Dynamics https://arxiv.org/abs/2409.07101 #physics.comp-ph #stat.CO

Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting https://arxiv.org/abs/2409.05980 #stat.ML #cs.LG

Learning about Spatial and Temporal Proximity using Tree-Based Methods https://arxiv.org/abs/2409.06046 #stat.AP

Empirical Bernstein in smooth Banach spaces https://arxiv.org/abs/2409.06060 #math.ST #stat.TH

Variational Search Distributions https://arxiv.org/abs/2409.06142 #stat.ML #cs.LG

Nonparametric Inference for Balance in Signed Networks https://arxiv.org/abs/2409.06172 #stat.ME

Optimizing Sample Size for Supervised Machine Learning with Bulk Transcriptomic Sequencing: A Learning Curve Approach https://arxiv.org/abs/2409.06180 #q-bio.GN #stat.ME

Intrinsic geometry-inspired dependent toroidal distribution: Application to regression model for astigmatism data https://arxiv.org/abs/2409.06229 #stat.AP

Applications of machine learning to predict seasonal precipitation for East Africa https://arxiv.org/abs/2409.06238 #stat.AP #stat.ML

A new paradigm for global sensitivity analysis https://arxiv.org/abs/2409.06271 #stat.ML #stat.ME #cs.LG

On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma https://arxiv.org/abs/2409.06275 #math.ST #stat.TH

Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm https://arxiv.org/abs/2409.04500 #stat.ML #stat.ME #cs.LG

Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs) https://arxiv.org/abs/2409.04642 #stat.AP

A Multi-objective Economic Statistical Design of the CUSUM chart: NSGA II Approach https://arxiv.org/abs/2409.04673 #stat.AP

Establishing the Parallels and Differences Between Right-Censored and Missing Covariates https://arxiv.org/abs/2409.04684 #stat.ME #stat.AP

Privacy enhanced collaborative inference in the Cox proportional hazards model for distributed data https://arxiv.org/abs/2409.04716 #stat.AP #math.ST #stat.TH

A Unified Framework for Cluster Methods with Tensor Networks https://arxiv.org/abs/2409.04729 #cond-mat.stat-mech #physics.comp-ph #stat.ME #stat.CO

Spatial Interference Detection in Treatment Effect Model https://arxiv.org/abs/2409.04836 #stat.ME

Moving from Machine Learning to Statistics: the case of Expected Points in American football https://arxiv.org/abs/2409.04889 #stat.AP

Marginal Structural Modeling of Representative Treatment Trajectories https://arxiv.org/abs/2409.04933 #stat.ME