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Jackknife Variance Estimation for H\'ajek-Dominated Generalized U-Statistics arxiv.org/abs/2509.12356 .ST .ML .TH

A computational method for type I error rate control in power-maximizing response-adaptive randomization arxiv.org/abs/2509.12448 .ME

Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes arxiv.org/abs/2509.12533 .AP .ME

Instrument, Variable and Model Selection with Nonignorable Nonresponse arxiv.org/abs/2509.12557 .ME

Feature Representation and Clustering of Airport Congestion with Hurst Exponent and High Order Statistics arxiv.org/abs/2509.08952 .AP

Nonparametric functional data classification and bandwidth selection in the presence of MNAR class variables arxiv.org/abs/2509.08978 .ME

Global Optimization of Stochastic Black-Box Functions with Arbitrary Noise Distributions using Wilson Score Kernel Density Estimation arxiv.org/abs/2509.09238 .ML .LG .RO

A Zero-Inflated Spatio-Temporal Model for Integrating Fishery-Dependent and Independent Data under Preferential Sampling arxiv.org/abs/2509.09336 .AP .ME

Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework arxiv.org/abs/2509.09371 .ME .LG

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings arxiv.org/abs/2509.03522 .AP .LG

Latent space projections and atlases: A cautionary tale in deep neuroimaging using autoencoders arxiv.org/abs/2509.03675 .AP

Comment on "Deep Regression Learning with Optimal Loss Function" arxiv.org/abs/2509.03702 .ME .ST .TH

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