arXiv Statistics @arxiv_stats@qoto.org

Analysis and sample size calculation within the responder stratified exponential survival model. (arXiv:2205.11599v1 [stat.ME]) http://arxiv.org/abs/2205.11599

A scalable and flexible Cox proportional hazards model for high-dimensional survival prediction and functional selection. (arXiv:2205.11600v1 [stat.ME]) http://arxiv.org/abs/2205.11600

uGLAD: Sparse graph recovery by optimizing deep unrolled networks. (arXiv:2205.11610v1 [cs.LG]) http://arxiv.org/abs/2205.11610

A General Framework for Powerful Confounder Adjustment in Omics Association Studies. (arXiv:2205.11617v1 [stat.ME]) http://arxiv.org/abs/2205.11617

Identifying Patient-Specific Root Causes of Disease. (arXiv:2205.11627v1 [stat.ML]) http://arxiv.org/abs/2205.11627

Generalization Gap in Amortized Inference. (arXiv:2205.11640v1 [stat.ML]) http://arxiv.org/abs/2205.11640

Throwing Away Data Improves Worst-Class Error in Imbalanced Classification. (arXiv:2205.11672v1 [stat.ML]) http://arxiv.org/abs/2205.11672

Adaptive Bayesian Inference of Markov Transition Rates. (arXiv:2205.10371v1 [stat.ME]) http://arxiv.org/abs/2205.10371

EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures. (arXiv:2205.10390v1 [cs.LG]) http://arxiv.org/abs/2205.10390

A statistical primer on exoplanet detection methods. (arXiv:2205.10417v1 [astro-ph.EP]) http://arxiv.org/abs/2205.10417

Hot-spots Detection in Count Data by Poisson Assisted Smooth Sparse Tensor Decomposition. (arXiv:2205.10447v1 [stat.AP]) http://arxiv.org/abs/2205.10447

Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification. (arXiv:2205.10457v1 [cs.CV]) http://arxiv.org/abs/2205.10457

Bias-robust Integration of Observational and Experimental Estimators. (arXiv:2205.10467v1 [stat.ME]) http://arxiv.org/abs/2205.10467

Conditional Balance Tests: Increasing Sensitivity and Specificity With Prognostic Covariates. (arXiv:2205.10478v1 [stat.ME]) http://arxiv.org/abs/2205.10478

Multivariate generalized linear mixed models for underdispersed count data. (arXiv:2205.10486v1 [stat.ME]) http://arxiv.org/abs/2205.10486

Mapping Emulation for Knowledge Distillation. (arXiv:2205.10490v1 [cs.LG]) http://arxiv.org/abs/2205.10490

Design-based estimators of distribution function in ranked set sampling with an application. (arXiv:2205.10522v1 [stat.ME]) http://arxiv.org/abs/2205.10522

Causal Discovery and Injection for Feed-Forward Neural Networks. (arXiv:2205.09787v1 [cs.LG]) http://arxiv.org/abs/2205.09787

Smoothness-Penalized Deconvolution (SPeD) of a Density Estimate. (arXiv:2205.09800v1 [math.ST]) http://arxiv.org/abs/2205.09800

Graph Neural Networks Are More Powerful Than we Think. (arXiv:2205.09801v1 [cs.LG]) http://arxiv.org/abs/2205.09801