arXiv Statistics @arxiv_stats@qoto.org

Performance of capture-recapture population size estimators under covariate information. (arXiv:2312.08391v1 [stat.ME]) http://arxiv.org/abs/2312.08391

Universal Approximation Property of Random Neural Networks. (arXiv:2312.08410v1 [cs.LG]) http://arxiv.org/abs/2312.08410

Space-Time Approximation with Shallow Neural Networks in Fourier Lebesgue spaces. (arXiv:2312.08461v1 [cs.LG]) http://arxiv.org/abs/2312.08461

Distributional Robustness and Transfer Learning Through Empirical Bayes. (arXiv:2312.08485v1 [math.ST]) http://arxiv.org/abs/2312.08485

Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs. (arXiv:2312.08493v1 [stat.ML]) http://arxiv.org/abs/2312.08493

Likelihood Correspondence of Statistical Models. (arXiv:2312.08501v1 [math.ST]) http://arxiv.org/abs/2312.08501

The Relative Value of Prediction in Algorithmic Decision Making. (arXiv:2312.08511v1 [cs.CY]) http://arxiv.org/abs/2312.08511

Using Model-Assisted Calibration Methods to Improve Efficiency of Regression Analyses with Two-Phase Samples under Complex Survey Designs. (arXiv:2312.08530v1 [stat.ME]) http://arxiv.org/abs/2312.08530

Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods. (arXiv:2312.08531v1 [cs.LG]) http://arxiv.org/abs/2312.08531

Fair Active Learning in Low-Data Regimes. (arXiv:2312.08559v1 [cs.LG]) http://arxiv.org/abs/2312.08559

Differential Equation Approximations for Population Games using Elementary Probability. (arXiv:2312.07598v1 [cs.GT]) http://arxiv.org/abs/2312.07598

Interpretational errors in statistical causal inference. (arXiv:2312.07610v1 [stat.ME]) http://arxiv.org/abs/2312.07610

Evaluating the Alignment of a Data Analysis between Analyst and Audience. (arXiv:2312.07616v1 [stat.ME]) http://arxiv.org/abs/2312.07616

Estimating Causal Impacts of Scaling a Voluntary Policy Intervention. (arXiv:2312.07619v1 [stat.ME]) http://arxiv.org/abs/2312.07619

Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply. (arXiv:2312.07636v1 [cs.LG]) http://arxiv.org/abs/2312.07636

Bayesian Online Learning for Consensus Prediction. (arXiv:2312.07679v1 [cs.LG]) http://arxiv.org/abs/2312.07679

On Rosenbaum's Rank-based Matching Estimator. (arXiv:2312.07683v1 [math.ST]) http://arxiv.org/abs/2312.07683

GP+: A Python Library for Kernel-based learning via Gaussian Processes. (arXiv:2312.07694v1 [cs.LG]) http://arxiv.org/abs/2312.07694

A Class of Computational Methods to Reduce Selection Bias when Designing Phase 3 Clinical Trials. (arXiv:2312.07697v1 [stat.ME]) http://arxiv.org/abs/2312.07697

Distribution of the elemental regression weights with t-distributed co-variate measurement errors. (arXiv:2312.07704v1 [math.ST]) http://arxiv.org/abs/2312.07704