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Estimating the false discovery risk of (randomized) clinical trials in medical journals based on published p-values. (arXiv:2302.00774v1 [stat.AP]) arxiv.org/abs/2302.00774

Brazilian tailing dam collapse, retrospective precursory monitoring of InSAR data using spectral analysis of time series. (arXiv:2302.00781v1 [stat.ME]) arxiv.org/abs/2302.00781

FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features. (arXiv:2302.00787v1 [cs.LG]) arxiv.org/abs/2302.00787

Differential Analysis for Networks Obeying Conservation Laws. (arXiv:2302.00002v1 [eess.SY]) arxiv.org/abs/2302.00002

On the Within-Group Discrimination of Screening Classifiers. (arXiv:2302.00025v1 [cs.LG]) arxiv.org/abs/2302.00025

Adaptive sparseness for correntropy-based robust regression via automatic relevance determination. (arXiv:2302.00082v1 [cs.LG]) arxiv.org/abs/2302.00082

A Non-asymptotic Analysis of Generalized Approximate Message Passing Algorithms with Right Rotationally Invariant Designs. (arXiv:2302.00088v1 [math.ST]) arxiv.org/abs/2302.00088

Efficient Generalization and Transportation. (arXiv:2302.00092v1 [stat.ME]) arxiv.org/abs/2302.00092

Distributed sequential federated learning. (arXiv:2302.00107v1 [stat.ML]) arxiv.org/abs/2302.00107

Small area estimation under unit-level generalized additive models for location, scale and shape. (arXiv:2302.00108v1 [stat.ME]) arxiv.org/abs/2302.00108

Revisiting Bellman Errors for Offline Model Selection. (arXiv:2302.00141v1 [cs.LG]) arxiv.org/abs/2302.00141

Local transfer learning from one data space to another. (arXiv:2302.00160v1 [cs.LG]) arxiv.org/abs/2302.00160

Gradient Descent in Neural Networks as Sequential Learning in RKBS. (arXiv:2302.00205v1 [stat.ML]) arxiv.org/abs/2302.00205

Spatial scales of COVID-19 transmission in Mexico. (arXiv:2301.13256v1 [physics.soc-ph]) arxiv.org/abs/2301.13256

Copula-based dependence measures for arbitrary data. (arXiv:2301.13259v1 [stat.ME]) arxiv.org/abs/2301.13259

Structure Learning and Parameter Estimation for Graphical Models via Penalized Maximum Likelihood Methods. (arXiv:2301.13269v1 [stat.ML]) arxiv.org/abs/2301.13269

Near Optimal Private and Robust Linear Regression. (arXiv:2301.13273v1 [cs.LG]) arxiv.org/abs/2301.13273

On the Statistical Benefits of Temporal Difference Learning. (arXiv:2301.13289v1 [cs.LG]) arxiv.org/abs/2301.13289

Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. (arXiv:2301.13303v1 [stat.ML]) arxiv.org/abs/2301.13303

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