arXiv Statistics @arxiv_stats@qoto.org

Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies. (arXiv:2112.08471v1 [stat.ME]) http://arxiv.org/abs/2112.08471

On Generalization and Computation of Tukey's Depth: Part I. (arXiv:2112.08475v1 [stat.ME]) http://arxiv.org/abs/2112.08475

On Generalization and Computation of Tukey's Depth: Part II. (arXiv:2112.08478v1 [stat.ME]) http://arxiv.org/abs/2112.08478

Maximum likelihood estimation for randomized shortest paths with trajectory data. (arXiv:2112.08481v1 [cs.SI]) http://arxiv.org/abs/2112.08481

A Targeted Approach to Confounder Selection for High-Dimensional Data. (arXiv:2112.08495v1 [stat.ME]) http://arxiv.org/abs/2112.08495

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. (arXiv:2112.08507v1 [cs.LG]) http://arxiv.org/abs/2112.08507

The Impact of TV Advertising on Website Traffic. (arXiv:2112.08530v1 [stat.AP]) http://arxiv.org/abs/2112.08530

A Tutorial on Bayesian Data Assimilation. (arXiv:2112.07704v1 [math.OC]) http://arxiv.org/abs/2112.07704

The Importance of Discussing Assumptions when Teaching Bootstrapping. (arXiv:2112.07737v1 [stat.OT]) http://arxiv.org/abs/2112.07737

Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. (arXiv:2112.07743v1 [cs.LG]) http://arxiv.org/abs/2112.07743

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning. (arXiv:2112.07746v1 [cs.LG]) http://arxiv.org/abs/2112.07746

Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics. (arXiv:2112.07755v1 [stat.ME]) http://arxiv.org/abs/2112.07755

Navigating the corporate disclosure gap: Modelling of Missing Not at Random Carbon Data. (arXiv:2112.07784v1 [stat.AP]) http://arxiv.org/abs/2112.07784

Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net. (arXiv:2112.07785v1 [stat.ML]) http://arxiv.org/abs/2112.07785

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. (arXiv:2112.07804v1 [cs.LG]) http://arxiv.org/abs/2112.07804

Bayesian Graph Contrastive Learning. (arXiv:2112.07823v1 [cs.LG]) http://arxiv.org/abs/2112.07823

CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. (arXiv:2112.07837v1 [cs.LG]) http://arxiv.org/abs/2112.07837

Boosting Independent Component Analysis. (arXiv:2112.06920v1 [stat.ML]) http://arxiv.org/abs/2112.06920

Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not. (arXiv:2112.06926v1 [cs.LG]) http://arxiv.org/abs/2112.06926

ELF: Exact-Lipschitz Based Universal Density Approximator Flow. (arXiv:2112.06997v1 [cs.LG]) http://arxiv.org/abs/2112.06997