arXiv Statistics @arxiv_stats@qoto.org

Further Results on the Bivariate Semi-parametric Singular Family of Distributions. (arXiv:2212.13385v1 [math.ST]) http://arxiv.org/abs/2212.13385

Invisible Infections: A Partial Information Approach for Estimating the Transmission Dynamics of the Covid-19 Pandemic. (arXiv:2212.13443v1 [physics.soc-ph]) http://arxiv.org/abs/2212.13443

Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. (arXiv:2212.13468v1 [cs.LG]) http://arxiv.org/abs/2212.13468

Estimation of stability index for symmetric {\alpha}-stable distribution using quantile conditional variance ratios. (arXiv:2212.13502v1 [stat.ME]) http://arxiv.org/abs/2212.13502

Neural Networks beyond explainability: Selective inference for sequence motifs. (arXiv:2212.12542v1 [q-bio.GN]) http://arxiv.org/abs/2212.12542

Simple Buehler-optimal confidence intervals on the average success probability of independent Bernoulli trials. (arXiv:2212.12558v1 [math.ST]) http://arxiv.org/abs/2212.12558

Adapting to game trees in zero-sum imperfect information games. (arXiv:2212.12567v1 [stat.ML]) http://arxiv.org/abs/2212.12567

Balanced Subsampling for Big Data with Categorical Covariates. (arXiv:2212.12595v1 [stat.ME]) http://arxiv.org/abs/2212.12595

Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints. (arXiv:2212.12603v1 [cs.LG]) http://arxiv.org/abs/2212.12603

A Convergence Rate for Manifold Neural Networks. (arXiv:2212.12606v1 [cs.LG]) http://arxiv.org/abs/2212.12606

Your diffusion model secretly knows the dimension of the data manifold. (arXiv:2212.12611v1 [cs.LG]) http://arxiv.org/abs/2212.12611

Concentration of the Langevin Algorithm's Stationary Distribution. (arXiv:2212.12629v1 [stat.ML]) http://arxiv.org/abs/2212.12629

Phase Identification of Smart Meters Using a Fourier Series Compression and a Statistical Clustering Algorithm. (arXiv:2212.12650v1 [stat.AP]) http://arxiv.org/abs/2212.12650

Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning. (arXiv:2212.12658v1 [cs.LG]) http://arxiv.org/abs/2212.12658

Langevin algorithms for Markovian Neural Networks and Deep Stochastic control. (arXiv:2212.12018v1 [q-fin.CP]) http://arxiv.org/abs/2212.12018

Deep Learning of Semi-Competing Risk Data via a New Neural Expectation-Maximization Algorithm. (arXiv:2212.12028v1 [stat.ML]) http://arxiv.org/abs/2212.12028

Estimating network-mediated causal effects via spectral embeddings. (arXiv:2212.12041v1 [stat.ME]) http://arxiv.org/abs/2212.12041

Fr\'echet Mean Set Estimation in the Hausdorff Metric, via Relaxation. (arXiv:2212.12057v1 [math.ST]) http://arxiv.org/abs/2212.12057

Design of Hamiltonian Monte Carlo for perfect simulation of general continuous distributions. (arXiv:2212.12140v1 [stat.CO]) http://arxiv.org/abs/2212.12140

The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. (arXiv:2212.12147v1 [stat.ML]) http://arxiv.org/abs/2212.12147