arXiv Statistics @arxiv_stats@qoto.org

Adaptive Bayesian Selection of Basis Functions for Functional Data via Stochastic Penalization. (arXiv:2204.03115v1 [stat.ME]) http://arxiv.org/abs/2204.03115

A proper scoring rule for minimum information copulas. (arXiv:2204.03118v1 [stat.ME]) http://arxiv.org/abs/2204.03118

A novel nonconvex, smooth-at-origin penalty for statistical learning. (arXiv:2204.03123v1 [stat.ML]) http://arxiv.org/abs/2204.03123

DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors. (arXiv:2204.03145v1 [stat.AP]) http://arxiv.org/abs/2204.03145

A Modified Net Reclassification Improvement Statistic. (arXiv:2204.03146v1 [stat.ME]) http://arxiv.org/abs/2204.03146

Bayesian vector autoregressive analysis of macroeconomic and transport influences on urban traffic accidents. (arXiv:2204.03177v1 [stat.AP]) http://arxiv.org/abs/2204.03177

MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems. (arXiv:2204.03193v1 [stat.ML]) http://arxiv.org/abs/2204.03193

A Joint Learning Approach for Semi-supervised Neural Topic Modeling. (arXiv:2204.03208v1 [cs.IR]) http://arxiv.org/abs/2204.03208

Robust Model-based Inference for Non-Probability Samples. (arXiv:2204.03215v1 [stat.ME]) http://arxiv.org/abs/2204.03215

Double sampling and semiparametric methods for informatively missing data. (arXiv:2204.02432v1 [stat.ME]) http://arxiv.org/abs/2204.02432

Aggregating human judgment probabilistic predictions of COVID-19 transmission, burden, and preventative measures. (arXiv:2204.02466v1 [stat.AP]) http://arxiv.org/abs/2204.02466

Method of Winsorized Moments for Robust Fitting of Truncated and Censored Lognormal Distributions. (arXiv:2204.02477v1 [stat.ME]) http://arxiv.org/abs/2204.02477

Discovering and forecasting extreme events via active learning in neural operators. (arXiv:2204.02488v1 [cs.LG]) http://arxiv.org/abs/2204.02488

Pareto-optimal clustering with the primal deterministic information bottleneck. (arXiv:2204.02489v1 [cs.LG]) http://arxiv.org/abs/2204.02489

A robust scalar-on-function logistic regression for classification. (arXiv:2204.02508v1 [stat.ME]) http://arxiv.org/abs/2204.02508

Cram\'{e}r's moderate deviations for martingales with applications. (arXiv:2204.02562v1 [math.PR]) http://arxiv.org/abs/2204.02562

Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence. (arXiv:2204.02570v1 [cs.DS]) http://arxiv.org/abs/2204.02570

PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations. (arXiv:2204.02583v1 [stat.ML]) http://arxiv.org/abs/2204.02583

Consensual Aggregation on Random Projected High-dimensional Features for Regression. (arXiv:2204.02606v1 [stat.ML]) http://arxiv.org/abs/2204.02606

The First Principles of Deep Learning and Compression. (arXiv:2204.01782v1 [eess.IV]) http://arxiv.org/abs/2204.01782