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6,404 studies

  1. A Framework for Teaching the Responsible and Effective Use of Generative AI in Statistics and Data Science
    Vinny Davies, Craig Alexander, Jennifer Gaskell +2
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  2. Conditional Mean Flows: Few-Step Densities for Simulation-Based Inference
    Jonas Arruda, Jan Hasenauer, Stefan T. Radev
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  3. conformalForecast: An R package for sequential conformal prediction in time series
    Xiaoqian Wang, Daniele Girolimetto
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  4. Sharp and Stable Label-Free Calibration Certificates from Logical Coherence
    Takahiro Kato
    arXivPreprintCC BY-SA 4.0Full textStatisticsarXiv
  5. When Is Muon Optimal? Radial Fragility and Minimax Geometry
    Ao Xu
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  6. Trial design considerations in the face of overdispersion and time-varying event rates: a meta-regression approach with an application in asthma
    Bohua Chen, Christian Röver, Stefan Andreas +2
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  7. Controlling the False Discovery Rate via Model-Agnostic Importance Measures
    Mengtao Wen, Haojie Ren, Changliang Zou
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  8. Online Quantile Omniprediction for Proper Losses
    Hyunsuk Kim, Isaac Gibbs, Michael W. Mahoney +1
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  9. Causal Mediation Analysis for Panel Data with Double/Debiased Machine Learning
    Peikai Wu, Zhiguo Xiao
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  10. Bayesian Nonparametric Longitudinal Factor Model for Microbiome Counts
    Shuangjie Zhang, Seoyeon Ok, Arul Jayaraman +4
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  11. Using Heteroscedasticity for Causal Discovery under Hidden Confounding
    Jing Zou, Wei Li, Wei Lin
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  12. Dimension reduction of compositional data through mixtures of latent source compositions
    Hyeon Lee, J. S. Marron, Eric Grunsky +1
    arXivPreprintCC BY-SA 4.0Full textStatisticsarXiv
  13. Strong Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in r-Largest Generalized Extreme-Value Models
    Jihong Park, Yire Shin, Jeong-Soo Park
    arXivPreprintCC BY-NC-ND 4.0Full textStatisticsarXiv
  14. CleanRM: Reward Modeling from Noisy Feedback with a Few Clean Feedback for RLHF
    Licheng Pan, Haocheng Yang, Yuzhou Chen +7
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  15. Reliability and Preventive Maintenance for Multivariate Gamma Degradation with Shared Random Effects and Cumulative Environmental Shock Damage
    Jiale Niu
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  16. Score Mismatch and Set-Constrained Sampling in Zero-Shot Conditional Discrete Diffusion
    Renxiang Huang, Yuchen Liang, Yingbin Liang +2
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  17. LLM Benchmarking via Representation Multi-task Learning
    Yuqing Xie, Yuxuan Xu, Yang Feng +1
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  18. A Latent-Space Statistical Learning Framework for Semicontinuous Outcomes: Regularized Deviance and Boundary-Stabilized Optimization
    Jianping Philip Wang
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  19. Optimal Watermark Localization in Mixed-Source Large Language Model Texts
    Jose H. Blanchet, T. Tony Cai, Xiang Li +3
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  20. ManifoldFlow: Spectrum-Learnable Stiefel Optimization via SPD Relaxation
    Haiwen Yi, Xinyuan Song
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  21. Leveraging Multi-Model Land-Use Emissions Reveals a Rising Airborne Fraction of Atmospheric CO2 Over the Past Six Decades
    J. Eduardo Vera-Valdes
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  22. Detectability without Interference: Efficient Canary Design for Privacy Auditing in One Run
    Mathieu Dagréou, Valentin Dorseuil, Mohammad Yaghini +2
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  23. Supervised Learning Objectives for High-Dimensional Treatment Effects
    Nikita Dhawan, Arnav Paruthi, Andrew Kim +3
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  24. Plan Before You Trade: Inference-Time Optimization for RL Trading Agents
    Eun Go, Rohan Deb, Arindam Banerjee
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  25. Efficient GMM and Weighting Matrix under Misspecification
    Byunghoon Kang
    arXivPreprintCC BY 4.0Full textStatisticsarXiv