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60 papers in stat.OT · page 2

  1. stat.ML 2024-07-16 reviewed
    MMD transport map extends particle filters to high dimensions

    Ensemble Transport Filter via Optimized Maximum Mean Discrepancy

    Dengfei Zeng +1

  2. stat.ME 2024-01-31 reviewed
    Mixed-effects models structure regularised methods for big geospatial data

    A review of regularised estimation methods and cross-validation in spatiotemporal statistics

    Philipp Otto +2

  3. stat.ML 2023-02-17 reviewed
    Adaptive thinning makes PDMPs feasible for Bayesian neural networks

    Piecewise Deterministic Markov Processes for Bayesian Neural Networks

    Ethan Goan +3

  4. stat.OT 2022-01-13 reviewed
    CRAN and citation data show R now grows mainly via computer science and life sciences

    An empirical exploration of the diversified R ecosystem

    Tian-Yuan Huang +1

  5. stat.OT 2019-07-19 reviewed
    Any context can host a continuously updated data analysis system

    Continuously Updated Data Analysis Systems

    Lee F. Richardson

  6. math.HO 2019-07-11 reviewed
    Proofs were always reproducible

    Truth, Proof, and Reproducibility: There's no counter-attack for the codeless

    Charles T. Gray +1

  7. stat.CO 2019-07-05 reviewed
    Shiryaev-Roberts quasi-stationary cdf converges at O(log(A)/A)

    On the Convergence Rate of the Quasi- to Stationary Distribution for the Shiryaev-Roberts Diffusion

    Kexuan Li +1

  8. stat.AP 2019-06-27 reviewed
    Thresholds on sensor data flag basketball active periods

    Detecting and classifying moments in basketball matches using sensor tracked data

    Tullio Facchinetti +2

  9. cs.NI 2019-06-25 reviewed
    NOMA hybrid scheme lets multiple devices share channels for aggregation

    Hybrid Resource Scheduling for Aggregation in Massive Machine-type Communication Networks

    Onel L. Alcaraz L\'opez +3

  10. stat.AP 2019-06-20 reviewed
    The PIV is the probability that a null hypothesis rejection on observed data persists…

    On the probability of a causal inference is robust for internal validity

    Tenglong Li +1

  11. stat.OT 2019-06-19 reviewed
    This paper argues that frequentist inference can be based on classical probabilities from…

    Frequentist Inference without Repeated Sampling

    Paul Vos +1