arXiv Statistics @arxiv_stats@qoto.org

Asymptotic Statistical Analysis of $f$-divergence GAN. (arXiv:2209.06853v1 [math.ST]) http://arxiv.org/abs/2209.06853

Do shared e-scooter services cause traffic accidents? Evidence from six European countries. (arXiv:2209.06870v1 [econ.EM]) http://arxiv.org/abs/2209.06870

Vector Time Series Modelling of Turbidity in Dublin Bay. (arXiv:2209.06880v1 [stat.AP]) http://arxiv.org/abs/2209.06880

Limit Cycles of AdaBoost. (arXiv:2209.06928v1 [cs.LG]) http://arxiv.org/abs/2209.06928

Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries. (arXiv:2209.06931v1 [cs.LG]) http://arxiv.org/abs/2209.06931

Lossy Image Compression with Conditional Diffusion Models. (arXiv:2209.06950v1 [eess.IV]) http://arxiv.org/abs/2209.06950

Wasserstein $K$-means for clustering probability distributions. (arXiv:2209.06975v1 [stat.ML]) http://arxiv.org/abs/2209.06975

Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. (arXiv:2209.06983v1 [stat.ML]) http://arxiv.org/abs/2209.06983

Principles for Estimating Causal Effects in Observational Settings. (arXiv:2209.06984v1 [stat.ME]) http://arxiv.org/abs/2209.06984

Clinical Utility Gains from Incorporating Comorbidity and Geographic Location Information into Risk Estimation Equations for Atherosclerotic Cardiovascular Disease. (arXiv:2209.06985v1 [stat.AP]) http://arxiv.org/abs/2209.06985

Improving Self-Supervised Learning by Characterizing Idealized Representations. (arXiv:2209.06235v1 [cs.LG]) http://arxiv.org/abs/2209.06235

Large deviation theory-based adaptive importance sampling for rare events in high dimensions. (arXiv:2209.06278v1 [stat.CO]) http://arxiv.org/abs/2209.06278

On the Relationship between Graphical Gaussian Processes and Functional Gaussian Graphical Models. (arXiv:2209.06294v1 [stat.ME]) http://arxiv.org/abs/2209.06294

Interim Monitoring of Sequential Multiple Assignment Randomized Trials Using Partial Information. (arXiv:2209.06306v1 [stat.ME]) http://arxiv.org/abs/2209.06306

A New Integrative Method for Multigroup Comparisons of Censored Survival Outcomes in Multiple Observational Studies. (arXiv:2209.06361v1 [stat.ME]) http://arxiv.org/abs/2209.06361

A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms. (arXiv:2209.06367v1 [cs.LG]) http://arxiv.org/abs/2209.06367

Estimating the impact of the COVID-19 pandemic using granular mortality data. (arXiv:2209.06473v1 [stat.AP]) http://arxiv.org/abs/2209.06473

Learning Value-at-Risk and Expected Shortfall. (arXiv:2209.06476v1 [q-fin.CP]) http://arxiv.org/abs/2209.06476

Weighted Distributed Estimation under Heterogeneity. (arXiv:2209.06482v1 [math.ST]) http://arxiv.org/abs/2209.06482

Two-stage Sampling Design and Sample Selection with the R package R2BEAT. (arXiv:2209.06532v1 [stat.ME]) http://arxiv.org/abs/2209.06532