Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects https://arxiv.org/abs/2411.12135 #stat.ML #cs.LG
Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds https://arxiv.org/abs/2411.12154 #stat.ML #eess.SY #cs.LG #cs.SY
Efficient inference for differential equation models without numerical solvers https://arxiv.org/abs/2411.10494 #stat.ME
Inference for overparametrized hierarchical Archimedean copulas https://arxiv.org/abs/2411.10615 #stat.ME
Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes https://arxiv.org/abs/2411.10620 #stat.ME
Sensitivity Analysis for Observational Studies with Flexible Matched Designs https://arxiv.org/abs/2411.10623 #stat.ME
Wasserstein Spatial Depth https://arxiv.org/abs/2411.10646 #math.ST #stat.ME #stat.TH
False Discovery Control in Multiple Testing: A Brief Overview of Theories and Methodologies https://arxiv.org/abs/2411.10647 #stat.ME #math.ST #stat.AP #stat.TH
Subsampling-based Tests in Mediation Analysis https://arxiv.org/abs/2411.10648 #stat.ME
Series Expansion of Probability of Correct Selection for Improved Finite Budget Allocation in Ranking and Selection https://arxiv.org/abs/2411.10695 #stat.ML #math.OC #cs.LG
Variance bounds and robust tuning for pseudo-marginal Metropolis--Hastings algorithms https://arxiv.org/abs/2411.10785 #math.ST #stat.CO #stat.TH
Improving Causal Estimation by Mixing Samples to Address Weak Overlap in Observational Studies https://arxiv.org/abs/2411.10801 #stat.ME
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness-Implementation Studies https://arxiv.org/abs/2411.08929 #stat.ME
Using Principal Progression Rate to Quantify and Compare Disease Progression in Comparative Studies https://arxiv.org/abs/2411.08984 #stat.ME
Parameter Inference via Differentiable Diffusion Bridge Importance Sampling https://arxiv.org/abs/2411.08993 #stat.ML #cs.LG
Microfoundation Inference for Strategic Prediction https://arxiv.org/abs/2411.08998 #stat.ML #stat.ME #cs.LG
Debiased machine learning for counterfactual survival functionals based on left-truncated right-censored data https://arxiv.org/abs/2411.09017 #stat.ME #math.ST #stat.TH
Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees https://arxiv.org/abs/2411.09025 #stat.AP
Minimax Optimal Two-Sample Testing under Local Differential Privacy https://arxiv.org/abs/2411.09064 #stat.ML #cs.CR #cs.LG
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