Finding Distributions that Differ, with False Discovery Rate Control https://arxiv.org/abs/2505.13769 #stat.ME
Characterization of Efficient Influence Function for Off-Policy Evaluation Under Optimal Policies https://arxiv.org/abs/2505.13809 #math.ST #econ.EM #stat.ML #stat.TH
A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors with Mixed-Type Responses https://arxiv.org/abs/2505.13821 #stat.ME
Range conditions on distributions and their possible application to geometric calibration in 2D parallel and fan-beam geometries https://arxiv.org/abs/2505.08805 #stat.AP #eess.IV
Bounding Neyman-Pearson Region with $f$-Divergences https://arxiv.org/abs/2505.08899 #math.ST #stat.ML #stat.TH #cs.LG
Statistical Decision Theory with Counterfactual Loss https://arxiv.org/abs/2505.08908 #math.ST #econ.TH #stat.TH #cs.LG
Modern causal inference approaches to improve power for subgroup analysis in randomized controlled trials https://arxiv.org/abs/2505.08960 #stat.ME
Causal Feedback Discovery using Convergence Cross Mapping from Sea Ice Data https://arxiv.org/abs/2505.09001 #physics.ao-ph #stat.AP
Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features https://arxiv.org/abs/2505.09004 #stat.ML #cs.LG
Probabilistic Wind Power Forecasting via Non-Stationary Gaussian Processes https://arxiv.org/abs/2505.09026 #stat.AP #stat.ML #cs.LG
Exploratory Hierarchical Factor Analysis with an Application to Psychological Measurement https://arxiv.org/abs/2505.09043 #stat.ME #math.ST #stat.TH
Risk Bounds For Distributional Regression https://arxiv.org/abs/2505.09075 #stat.ML #cs.LG
Sequential Scoring Rule Evaluation for Forecast Method Selection https://arxiv.org/abs/2505.09090 #math.ST #econ.EM #stat.ME #stat.TH
Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions https://arxiv.org/abs/2505.07825 #stat.ML #math.PR #cs.LG
Wasserstein Distributionally Robust Nonparametric Regression https://arxiv.org/abs/2505.07967 #stat.ML #cs.LG
Probabilistic approach to longitudinal response prediction: application to radiomics from brain cancer imaging https://arxiv.org/abs/2505.07973 #stat.AP #cs.AI
Time-varying Parameter Tensor Vector Autoregression https://arxiv.org/abs/2505.07975 #stat.ME
rd2d: Causal Inference in Boundary Discontinuity Designs https://arxiv.org/abs/2505.07989 #stat.ME #econ.EM #stat.CO
Separation-based causal discovery for extremes https://arxiv.org/abs/2505.08008 #stat.ME
Measures of association for approximating copulas https://arxiv.org/abs/2505.08045 #math.ST #stat.TH
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