arXiv Statistics @arxiv_stats@qoto.org

The fiducial-Bayes fusion: A general theory of statistical inference. (arXiv:2310.01533v1 [stat.OT]) http://arxiv.org/abs/2310.01533

On the near-optimality of betting confidence sets for bounded means. (arXiv:2310.01547v1 [math.ST]) http://arxiv.org/abs/2310.01547

Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis. (arXiv:2310.01575v1 [stat.ME]) http://arxiv.org/abs/2310.01575

An Investigation of Representation and Allocation Harms in Contrastive Learning. (arXiv:2310.01583v1 [stat.ML]) http://arxiv.org/abs/2310.01583

Wine feature importance and quality prediction: A comparative study of machine learning algorithms with unbalanced data. (arXiv:2310.01584v1 [stat.AP]) http://arxiv.org/abs/2310.01584

Approximate Marginal Likelihood Inference in Mixed Models for Grouped Data. (arXiv:2310.01589v1 [stat.ME]) http://arxiv.org/abs/2310.01589

Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. (arXiv:2310.01593v1 [cs.LG]) http://arxiv.org/abs/2310.01593

Adversarial Contextual Bandits Go Kernelized. (arXiv:2310.01609v1 [stat.ML]) http://arxiv.org/abs/2310.01609

Sleep during COVID-19 pandemic: Longitudinal observational study combining multisensor data with questionnaires. (arXiv:2310.01652v1 [cs.HC]) http://arxiv.org/abs/2310.01652

The concept of probability, crisis in statistics, and the unbearable lightness of Bayesing. (arXiv:2310.00002v1 [stat.OT]) http://arxiv.org/abs/2310.00002

Statistics for Machine Learning with Mathematica Applications. (arXiv:2310.00004v1 [stat.OT]) http://arxiv.org/abs/2310.00004

Unlabeled Out-Of-Domain Data Improves Generalization. (arXiv:2310.00027v1 [stat.ML]) http://arxiv.org/abs/2310.00027

Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior. (arXiv:2310.00097v1 [math.ST]) http://arxiv.org/abs/2310.00097

Federated Learning with Differential Privacy for End-to-End Speech Recognition. (arXiv:2310.00098v1 [cs.LG]) http://arxiv.org/abs/2310.00098

Linear classification methods for multivariate repeated measures data -- a simulation study. (arXiv:2310.00107v1 [stat.ME]) http://arxiv.org/abs/2310.00107

Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit. (arXiv:2310.00110v1 [stat.ML]) http://arxiv.org/abs/2310.00110

Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates. (arXiv:2310.00125v1 [stat.CO]) http://arxiv.org/abs/2310.00125

Simulations for Meta-analysis of Magnitude Measures. (arXiv:2310.00126v1 [stat.ME]) http://arxiv.org/abs/2310.00126

On the Disconnect Between Theory and Practice of Overparametrized Neural Networks. (arXiv:2310.00137v1 [cs.LG]) http://arxiv.org/abs/2310.00137

Normalized insured losses caused by windstorms in Quebec and Ontario, Canada, in the period 2008-2021. (arXiv:2309.16695v1 [econ.GN]) http://arxiv.org/abs/2309.16695