arXiv Statistics @arxiv_stats@qoto.org

A Parametric Approach to Relaxing the Independence Assumption in Relative Survival Analysis. (arXiv:2112.04534v1 [stat.ME]) http://arxiv.org/abs/2112.04534

A Combinatorial Approach for Nonparametric Short-Term Estimation of Queue Lengths using Probe Vehicles. (arXiv:2112.04551v1 [stat.ME]) http://arxiv.org/abs/2112.04551

Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach. (arXiv:2112.04571v1 [cs.LG]) http://arxiv.org/abs/2112.04571

Custom Orthogonal Weight functions (COWs) for Event Classification. (arXiv:2112.04574v1 [stat.ME]) http://arxiv.org/abs/2112.04574

A generalized definition of the average causal effect for both binary and continuous treatments. (arXiv:2112.04580v1 [stat.ME]) http://arxiv.org/abs/2112.04580

Moments estimators and omnibus chi-square tests for some usual probability laws. (arXiv:2112.04589v1 [stat.ME]) http://arxiv.org/abs/2112.04589

The perils of being unhinged: On the accuracy of classifiers minimizing a noise-robust convex loss. (arXiv:2112.04590v1 [cs.LG]) http://arxiv.org/abs/2112.04590

InvGAN: Invertable GANs. (arXiv:2112.04598v1 [cs.CV]) http://arxiv.org/abs/2112.04598

Calibration Improves Bayesian Optimization. (arXiv:2112.04620v1 [cs.LG]) http://arxiv.org/abs/2112.04620

RID-Noise: Towards Robust Inverse Design under Noisy Environments. (arXiv:2112.03912v1 [cs.LG]) http://arxiv.org/abs/2112.03912

Case Study: Evaluation of a meta-analysis of the association between soy protein and cardiovascular disease. (arXiv:2112.03945v1 [stat.AP]) http://arxiv.org/abs/2112.03945

A causal approach to functional mediation analysis with application to a smoking cessation intervention. (arXiv:2112.03960v1 [stat.ME]) http://arxiv.org/abs/2112.03960

Change-point Detection for Piecewise Exponential Models. (arXiv:2112.03962v1 [stat.ME]) http://arxiv.org/abs/2112.03962

Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks. (arXiv:2112.03968v1 [cs.LG]) http://arxiv.org/abs/2112.03968

Posterior linearisation smoothing with robust iterations. (arXiv:2112.03969v1 [math.OC]) http://arxiv.org/abs/2112.03969

Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules. (arXiv:2112.03981v1 [stat.ME]) http://arxiv.org/abs/2112.03981

Convergence rate bounds for iterative random functions using one-shot coupling. (arXiv:2112.03982v1 [stat.CO]) http://arxiv.org/abs/2112.03982

Testing for Causal Influence using a Partial Coherence Statistic. (arXiv:2112.03987v1 [eess.SP]) http://arxiv.org/abs/2112.03987

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. (arXiv:2112.04002v1 [cs.LG]) http://arxiv.org/abs/2112.04002

Toward a Taxonomy of Trust for Probabilistic Machine Learning. (arXiv:2112.03270v1 [cs.LG]) http://arxiv.org/abs/2112.03270