arXiv Statistics @arxiv_stats@qoto.org

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

Limits of epidemic prediction using SIR models. (arXiv:2112.07039v1 [stat.AP]) http://arxiv.org/abs/2112.07039

How to Learn when Data Gradually Reacts to Your Model. (arXiv:2112.07042v1 [cs.LG]) http://arxiv.org/abs/2112.07042

Fiducial Inference and Decision Theory. (arXiv:2112.07060v1 [stat.ME]) http://arxiv.org/abs/2112.07060

Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System. (arXiv:2112.07067v1 [stat.ML]) http://arxiv.org/abs/2112.07067

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion. (arXiv:2112.07068v1 [stat.ML]) http://arxiv.org/abs/2112.07068

The integrated copula spectrum. (arXiv:2112.07077v1 [math.ST]) http://arxiv.org/abs/2112.07077

Methods for Eliciting Informative Prior Distributions. (arXiv:2112.07090v1 [stat.ME]) http://arxiv.org/abs/2112.07090

On the identification of the riskiest directional components from multivariate heavy-tailed data. (arXiv:2112.05759v1 [math.ST]) http://arxiv.org/abs/2112.05759