arXiv Statistics @arxiv_stats@qoto.org

Unbiased least squares regression via averaged stochastic gradient descent https://arxiv.org/abs/2406.18623 #stat.ML #stat.ME #cs.LG

Data Sketching and Stacking: A Confluence of Two Strategies for Predictive Inference in Gaussian Process Regressions with High-Dimensional Features https://arxiv.org/abs/2406.18681 #stat.ME

Robust Distributed Learning of Functional Data From Simulators through Data Sketching https://arxiv.org/abs/2406.18751 #stat.AP

Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds https://arxiv.org/abs/2406.18806 #stat.ML #cs.LG

Distribution Learnability and Robustness https://arxiv.org/abs/2406.17814 #stat.ML #math.IT #math.ST #stat.TH #cs.DS #cs.IT #cs.LG

Practical identifiability and parameter estimation of compartmental epidemiological models https://arxiv.org/abs/2406.17827 #stat.ME

Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness https://arxiv.org/abs/2406.17830 #stat.ML #cs.LG

Neutrosophic Birnbaum-Saunders distribution with applications https://arxiv.org/abs/2406.17884 #stat.AP #math.ST #stat.TH

Minimax-robust estimation problems for stationary stochastic sequences https://arxiv.org/abs/2406.17917 #math.ST #stat.TH

Robust integration of external control data in randomized trials https://arxiv.org/abs/2406.17971 #stat.ME

Shrinkage Estimators for Beta Regression Models https://arxiv.org/abs/2406.18047 #stat.ME #stat.AP

Flexible Conformal Highest Predictive Conditional Density Sets https://arxiv.org/abs/2406.18052 #stat.ME #math.ST #stat.TH

Learning for Bandits under Action Erasures https://arxiv.org/abs/2406.18072 #stat.ML #cs.LG

Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression https://arxiv.org/abs/2406.18137 #stat.ML #cs.LG

Flexible Tails for Normalizing Flows https://arxiv.org/abs/2406.16971 #stat.ML #cs.LG

Bayesian Deep ICE https://arxiv.org/abs/2406.17058 #stat.ME #cs.LG

A Wiener process perspective on local intrinsic dimension estimation methods https://arxiv.org/abs/2406.17125 #stat.ML #cs.LG

Bayesian temporal biclustering with applications to multi-subject neuroscience studies https://arxiv.org/abs/2406.17131 #stat.ME #stat.AP #cs.LG

Unraveling the Dynamics of SPY Trading Volumes: A Comprehensive Analysis of Daily and Intraday Liquidity Trends https://arxiv.org/abs/2406.17198 #stat.AP

NFL Ghosts: A framework for evaluating defender positioning with conditional density estimation https://arxiv.org/abs/2406.17220 #stat.AP