arXiv Statistics @arxiv_stats@qoto.org

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

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

Scalable extensions to given-data Sobol' index estimators https://arxiv.org/abs/2509.09078 #stat.ML #stat.AP #stat.CO #cs.LG

ANOVA for High-dimensional Non-stationary Time Series https://arxiv.org/abs/2509.09079 #math.ST #stat.TH

Divide, Interact, Sample: The Two-System Paradigm https://arxiv.org/abs/2509.09162 #stat.CO #math.PR

Quantile-based Fractional Generalized Cumulative Past Entropy https://arxiv.org/abs/2509.09182 #math.ST #stat.TH

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

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

Low-degree lower bounds via almost orthonormal bases https://arxiv.org/abs/2509.09353 #stat.ML #cs.LG

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

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

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

Comment on "Deep Regression Learning with Optimal Loss Function" https://arxiv.org/abs/2509.03702 #stat.ME #math.ST #stat.TH

Seasonal and periodic patterns of ischemic heart disease in New York using the Variable Multiple Bandpass Periodic Block Bootstrap https://arxiv.org/abs/2509.03710 #stat.AP

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling https://arxiv.org/abs/2509.03726 #stat.ML #cs.LG

Testing for correlation between network structure and high-dimensional node covariates https://arxiv.org/abs/2509.03772 #stat.ML #math.ST #stat.TH #cs.LG

Simulation-based Inference via Langevin Dynamics with Score Matching https://arxiv.org/abs/2509.03853 #stat.ME #stat.CO #stat.ML

Diffusion Generative Models Meet Compressed Sensing, with Applications to Image Data and Financial Time Series https://arxiv.org/abs/2509.03898 #stat.ML #cs.AI #cs.LG

An invertible generative model for forward and inverse problems https://arxiv.org/abs/2509.03910 #stat.ML #math.PR #cs.LG

Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations https://arxiv.org/abs/2509.03945 #stat.CO #math.NA #stat.ML #cs.DC #cs.NA