arXiv Statistics @arxiv_stats@qoto.org

The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic. (arXiv:2211.00054v1 [stat.AP]) http://arxiv.org/abs/2211.00054

Denoising neural networks for magnetic resonance spectroscopy. (arXiv:2211.00080v1 [cs.LG]) http://arxiv.org/abs/2211.00080

Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. (arXiv:2211.00100v1 [stat.ML]) http://arxiv.org/abs/2211.00100

Variable Selection for Multiply-imputed Data: A Bayesian Framework. (arXiv:2211.00114v1 [stat.ME]) http://arxiv.org/abs/2211.00114

Bayesian Modeling of Dynamic Behavioral Change During an Epidemic. (arXiv:2211.00122v1 [stat.ME]) http://arxiv.org/abs/2211.00122

SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals. (arXiv:2211.00128v1 [stat.ML]) http://arxiv.org/abs/2211.00128

Stochastic Epidemic Modelling. (arXiv:2211.00138v1 [stat.CO]) http://arxiv.org/abs/2211.00138

Asymptotic Invariance and Robustness of Randomization Tests. (arXiv:2211.00144v1 [math.ST]) http://arxiv.org/abs/2211.00144

Can the potential benefit of individualizing treatment be assessed using trial summary statistics alone?. (arXiv:2211.00163v1 [stat.ME]) http://arxiv.org/abs/2211.00163

Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary. (arXiv:2210.16311v1 [stat.ML]) http://arxiv.org/abs/2210.16311

Beyond calibration: estimating the grouping loss of modern neural networks. (arXiv:2210.16315v1 [cs.LG]) http://arxiv.org/abs/2210.16315

A Comparison of Reproducibility Guidelines and Its Implications on Undergraduate Statistical Education. (arXiv:2210.16350v1 [stat.OT]) http://arxiv.org/abs/2210.16350

Minimum Kernel Discrepancy Estimators. (arXiv:2210.16357v1 [stat.ME]) http://arxiv.org/abs/2210.16357

Continuous Attribution of Episodical Outcomes for More Efficient and Targeted Online Measurement. (arXiv:2210.16373v1 [stat.AP]) http://arxiv.org/abs/2210.16373

SoftBart: Soft Bayesian Additive Regression Trees. (arXiv:2210.16375v1 [stat.ME]) http://arxiv.org/abs/2210.16375

A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. (arXiv:2210.16412v1 [cs.LG]) http://arxiv.org/abs/2210.16412

Cluster Randomized Designs for One-Sided Bipartite Experiments. (arXiv:2210.16415v1 [stat.ME]) http://arxiv.org/abs/2210.16415

Similarities and differences in the sensitivity of Soil Organic Matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates. (arXiv:2210.16417v1 [stat.AP]) http://arxiv.org/abs/2210.16417

Scalable Spectral Clustering with Group Fairness Constraints. (arXiv:2210.16435v1 [cs.LG]) http://arxiv.org/abs/2210.16435

Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models. (arXiv:2210.15674v1 [cs.LG]) http://arxiv.org/abs/2210.15674