arXiv Statistics @arxiv_stats@qoto.org

Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes. (arXiv:2109.14001v1 [stat.AP]) http://arxiv.org/abs/2109.14001

slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks. (arXiv:2109.14002v1 [cs.LG]) http://arxiv.org/abs/2109.14002

Statistical methods for modeling spatially-referenced paired genetic relatedness data. (arXiv:2109.14003v1 [stat.ME]) http://arxiv.org/abs/2109.14003

Parameter Shrinkage Estimation of Reading Count Data Models. (arXiv:2109.14010v1 [stat.ME]) http://arxiv.org/abs/2109.14010

The AUGUST Two-Sample Test: Powerful, Interpretable, and Fast. (arXiv:2109.14013v1 [stat.ME]) http://arxiv.org/abs/2109.14013

Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources. (arXiv:2109.14046v1 [stat.ML]) http://arxiv.org/abs/2109.14046

Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials. (arXiv:2109.14048v1 [stat.ME]) http://arxiv.org/abs/2109.14048

Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning. (arXiv:2109.13232v1 [stat.ML]) http://arxiv.org/abs/2109.13232

DOODLER: Determining Out-Of-Distribution Likelihood from Encoder Reconstructions. (arXiv:2109.13237v1 [cs.LG]) http://arxiv.org/abs/2109.13237

The edge of chaos: quantum field theory and deep neural networks. (arXiv:2109.13247v1 [hep-th]) http://arxiv.org/abs/2109.13247

Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid. (arXiv:2109.13288v1 [stat.ME]) http://arxiv.org/abs/2109.13288

ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning. (arXiv:2109.13305v1 [cs.LG]) http://arxiv.org/abs/2109.13305

Joint marginal structural models to estimate the causal effects of multiple longitudinal treatments in continuous time with application to COVID-19. (arXiv:2109.13368v1 [stat.ME]) http://arxiv.org/abs/2109.13368

Variance partitioning in spatio-temporal disease mapping models. (arXiv:2109.13374v1 [stat.ME]) http://arxiv.org/abs/2109.13374

Assessing Outcome-to-Outcome Interference in Sibling Fixed Effects Models. (arXiv:2109.13399v1 [stat.ME]) http://arxiv.org/abs/2109.13399

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?. (arXiv:2109.13445v1 [cs.CV]) http://arxiv.org/abs/2109.13445

An Automated Approach to Causal Inference in Discrete Settings. (arXiv:2109.13471v1 [stat.ME]) http://arxiv.org/abs/2109.13471

ALL-IN meta-analysis: breathing life into living systematic reviews. (arXiv:2109.12141v1 [stat.ME]) http://arxiv.org/abs/2109.12141

Canonical fundamental skew-t linear mixed models. (arXiv:2109.12152v1 [stat.ME]) http://arxiv.org/abs/2109.12152

Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals. (arXiv:2109.12156v1 [math.ST]) http://arxiv.org/abs/2109.12156