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
Gerrymandering and geographic polarization have reduced electoral competition https://arxiv.org/abs/2508.15885 #stat.AP
Interpretable Kernels https://arxiv.org/abs/2508.15932 #stat.ML #cs.LG
Dynamic Graph-Based Forecasts of Bookmakers' Odds in Professional Tennis https://arxiv.org/abs/2508.15956 #stat.AP
Nonparametric regression for a circular response with error-in-covariate https://arxiv.org/abs/2508.15962 #stat.ME
Bayesimax Theory: Selecting Priors by Minimizing Total Information https://arxiv.org/abs/2508.15976 #math.ST #stat.TH
A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output https://arxiv.org/abs/2508.15978 #stat.AP #stat.CO #stat.ME
Comparing Malaria Trends in the Comoros Islands: ARIMA Modeling and Retrospective Analysis https://arxiv.org/abs/2508.16018 #stat.AP
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning https://arxiv.org/abs/2508.16027 #stat.ML #cs.LG
Evaluation of Time Series Forecasting Models for Predicting Lung Cancer Mortality Rates in the United States: A Comparison with Altuhaifa (2023) Study https://arxiv.org/abs/2508.16052 #stat.AP
Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome https://arxiv.org/abs/2508.16096 #stat.ME
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