arXiv Statistics @arxiv_stats@qoto.org

Machine learning and geospatial methods for large-scale mining data. (arXiv:2207.10138v1 [stat.AP]) http://arxiv.org/abs/2207.10138

Limiting distributions of the likelihood ratio test statistics for independence of normal random vectors. (arXiv:2207.10191v1 [math.ST]) http://arxiv.org/abs/2207.10191

The Forecast Trap. (arXiv:2207.10193v1 [stat.AP]) http://arxiv.org/abs/2207.10193

Provably tuning the ElasticNet across instances. (arXiv:2207.10199v1 [cs.LG]) http://arxiv.org/abs/2207.10199

The tropical geometry of causal inference for extremes. (arXiv:2207.10227v1 [math.ST]) http://arxiv.org/abs/2207.10227

On minimax density estimation via measure transport. (arXiv:2207.10231v1 [math.ST]) http://arxiv.org/abs/2207.10231

Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget. (arXiv:2207.10239v1 [math.ST]) http://arxiv.org/abs/2207.10239

Efficient inference and identifiability analysis for differential equation models with random parameters. (arXiv:2207.10267v1 [stat.ME]) http://arxiv.org/abs/2207.10267

Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness. (arXiv:2207.10283v1 [cs.LG]) http://arxiv.org/abs/2207.10283

Approximation Power of Deep Neural Networks: an explanatory mathematical survey. (arXiv:2207.09511v1 [cs.LG]) http://arxiv.org/abs/2207.09511

Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse. (arXiv:2207.09535v1 [cs.LG]) http://arxiv.org/abs/2207.09535

A Normal Test for Independence via Generalized Mutual Information. (arXiv:2207.09541v1 [math.ST]) http://arxiv.org/abs/2207.09541

Holistic Robust Data-Driven Decisions. (arXiv:2207.09560v1 [stat.ML]) http://arxiv.org/abs/2207.09560

Consistency of the Bayes Estimator of a Regression Curve. (arXiv:2207.09573v1 [math.ST]) http://arxiv.org/abs/2207.09573

Adaptive online variance estimation in particle filters: the ALVar estimator. (arXiv:2207.09590v1 [stat.CO]) http://arxiv.org/abs/2207.09590

Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model. (arXiv:2207.09633v1 [stat.ME]) http://arxiv.org/abs/2207.09633

Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization. (arXiv:2207.09660v1 [math.OC]) http://arxiv.org/abs/2207.09660

Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes. (arXiv:2207.09667v1 [cs.LG]) http://arxiv.org/abs/2207.09667

Intrinsic dimension estimation for discrete metrics. (arXiv:2207.09688v1 [stat.ML]) http://arxiv.org/abs/2207.09688

Why do tree-based models still outperform deep learning on tabular data?. (arXiv:2207.08815v1 [cs.LG]) http://arxiv.org/abs/2207.08815