arXiv Statistics @arxiv_stats@qoto.org

Temporally-Evolving Generalised Networks and their Reproducing Kernels. (arXiv:2309.15855v1 [cs.SI]) http://arxiv.org/abs/2309.15855

Application of data acquisition methods in the field of scientific research of public policy. (arXiv:2309.15973v1 [stat.ME]) http://arxiv.org/abs/2309.15973

What To Do (and Not to Do) with Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study. (arXiv:2309.15983v1 [stat.ME]) http://arxiv.org/abs/2309.15983

Improving Adaptive Online Learning Using Refined Discretization. (arXiv:2309.16044v1 [cs.LG]) http://arxiv.org/abs/2309.16044

Predicting Cardiovascular Complications in Post-COVID-19 Patients Using Data-Driven Machine Learning Models. (arXiv:2309.16059v1 [cs.LG]) http://arxiv.org/abs/2309.16059

Bayesian Cram\'er-Rao Bound Estimation with Score-Based Models. (arXiv:2309.16076v1 [math.ST]) http://arxiv.org/abs/2309.16076

Nonparametric estimation of a covariate-adjusted counterfactual treatment regimen response curve. (arXiv:2309.16099v1 [math.ST]) http://arxiv.org/abs/2309.16099

Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics. (arXiv:2309.16109v1 [cs.LG]) http://arxiv.org/abs/2309.16109

Counterfactual Density Estimation using Kernel Stein Discrepancies. (arXiv:2309.16129v1 [stat.ME]) http://arxiv.org/abs/2309.16129

Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples. (arXiv:2309.16143v1 [cs.LG]) http://arxiv.org/abs/2309.16143

Monitoring Machine Learning Models: Online Detection of Relevant Deviations. (arXiv:2309.15187v1 [cs.LG]) http://arxiv.org/abs/2309.15187

Double machine learning and design in batch adaptive experiments. (arXiv:2309.15297v1 [stat.ME]) http://arxiv.org/abs/2309.15297

Wasserstein convergence in Bayesian and frequentist deconvolution models. (arXiv:2309.15300v1 [math.ST]) http://arxiv.org/abs/2309.15300

Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims. (arXiv:2309.15316v1 [stat.ME]) http://arxiv.org/abs/2309.15316

Structural identifiability analysis of linear reaction-advection-diffusion processes in mathematical biology. (arXiv:2309.15326v1 [q-bio.QM]) http://arxiv.org/abs/2309.15326

Three steps towards dose optimization for oncology dose finding. (arXiv:2309.15333v1 [stat.ME]) http://arxiv.org/abs/2309.15333

Thresholded Lasso for high dimensional variable selection. (arXiv:2309.15355v1 [math.ST]) http://arxiv.org/abs/2309.15355

A Risk-Ratio-Based Marginal Sensitivity Model for Causal Effects in Observational Studies. (arXiv:2309.15391v1 [stat.ME]) http://arxiv.org/abs/2309.15391

Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views. (arXiv:2309.15408v1 [stat.ME]) http://arxiv.org/abs/2309.15408

Uncertainty Quantification via Neural Posterior Principal Components. (arXiv:2309.15533v1 [cs.CV]) http://arxiv.org/abs/2309.15533