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Dr Adam Sykulski

Formerly at Lancaster University

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  1. Published

    Identifying and Responding to Outlier Demand in Revenue Management

    Rennie, N., Cleophas, C., Sykulski, A. & Dost, F., 16/09/2021, In: European Journal of Operational Research. 293, 3, p. 1015-1030 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Lagrangian time series models for ocean surface drifter trajectories

    Sykulski, A. M., Olhede, S. C., Lilly, J. M. & Danioux, E., 01/2016, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 65, 1, p. 29-50 22 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Multivariate Probabilistic Regression with Natural Gradient Boosting

    O'Malley, M., Sykulski, A., Lumpkin, R. & Schuler, A., 7/06/2021, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  4. Published

    Nonparametric Time Series Summary Statistics for High-Frequency Accelerometry Data from Individuals with Advanced Dementia

    Suibkitwanchai, K., Sykulski, A., Perez Algorta, G., Waller, D. & Walshe, C., 25/09/2020, In: PLoS ONE. 15, 9, 23 p., e0239368.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    On-line adaptation of exploration in the one-armed bandit with covariates problem

    Sykulski, A. M., Adams, N. M. & Jennings, N. R., 2010, Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010. IEEE, p. 459-464 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. E-pub ahead of print

    Outlier detection in network revenue management

    Rennie, N., Cleophas, C., Sykulski, A. & Dost, F., 23/03/2023, (E-pub ahead of print) In: OR Spectrum.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Separating Mesoscale and Submesoscale Flows from Clustered Drifter Trajectories

    Oscroft, S., Sykulski, A. M. & Early, J. J., 31/12/2020, In: Fluids. 6, 1, 14.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

    Early, J. J. & Sykulski, A. M., 31/03/2020, In: Journal of Atmospheric and Oceanic Technology. 37, 3, p. 449-465 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Forthcoming

    The Debiased Spatial Whittle Likelihood

    Guillaumin, A. P., Sykulski, A., Olhede, S. C. & Simons, F. J., 4/03/2022, (Accepted/In press) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    The debiased Whittle likelihood

    Sykulski, A. M., Olhede, S. C., Guillaumin, A. P., Lilly, J. M. & Early, J. J., 1/06/2019, In: Biometrika. 106, 2, p. 251-266 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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