Structural and Lagrangian properties of analogue ensembles to characterize multifractality of stochastic processes https://arxiv.org/abs/2605.08155 #physics.data-an #physics.flu-dyn #stat.AP #math.PR
Quantifying Exposure Information Uncertainty in Regional Risk Assessment https://arxiv.org/abs/2605.08272 #stat.AP
Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks https://arxiv.org/abs/2605.08379 #stat.AP #cs.LG
Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular https://arxiv.org/abs/2605.08395 #stat.ME #stat.AP
Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence https://arxiv.org/abs/2605.08422 #stat.ME #econ.EM #stat.CO
Active Multiple-Prediction-Powered Inference https://arxiv.org/abs/2605.08429 #stat.ML #stat.ME #cs.LG
Asymptotics for likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters https://arxiv.org/abs/2605.08471 #math.ST #stat.TH
Bayesian Modeling and Prediction of Generalized Contact Matrices https://arxiv.org/abs/2605.06742 #stat.ME #stat.AP
A Statistical Framework for Algorithmic Collective Action with Multiple Collectives https://arxiv.org/abs/2605.06749 #stat.ME #cs.AI
Modeling Dynamic Correlation Matrices with Shrinkage Priors https://arxiv.org/abs/2605.06818 #q-fin.ST #stat.ME
How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models https://arxiv.org/abs/2605.06826 #stat.ML #math.IT #math.SP #cs.IT
Nonlinear Amplification of Finite-Sample Uncertainty in Capability-Based Decisions https://arxiv.org/abs/2605.06843 #stat.AP #stat.ME
Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models https://arxiv.org/abs/2605.06845 #math.ST #stat.TH
Nonparametric estimation of time-varying network connections by multi-stage smoothing https://arxiv.org/abs/2605.06862 #stat.ME #stat.ML
One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators https://arxiv.org/abs/2605.06873 #stat.ML #math.NA #cs.LG #cs.NA
Kernel Selection is Model Selection: A Unified Complexity-Penalized Approach for MMD Two-Sample Tests https://arxiv.org/abs/2605.06883 #stat.ML #cs.LG
Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions https://arxiv.org/abs/2605.06959 #stat.ML #math.ST #stat.TH #cs.LG
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