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Statistical Artificial Intelligence

  1. 2023
  2. Published

    Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics

    Romano, G., Eckley, I. A., Fearnhead, P. & Rigaill, G., 31/03/2023, In: Journal of Machine Learning Research. 24, p. 1-36 36 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection

    Runge, V., Hocking, T. D., Romano, G., Afghah, F., Fearnhead, P. & Rigaill, G., 27/03/2023, In: Journal of Statistical Software. 106, 6, p. 1–39 39 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Forthcoming

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 23/02/2023, (Accepted/In press) Proceedings of Machine Learning Research, (Artificial Intelligence and Statistics; vol. 206).

    Research output: Working paperPreprint

  5. Published
  6. Published

    Online non-parametric changepoint detection with application to monitoring operational performance of network devices

    Austin, E., Romano, G., Eckley, I. & Fearnhead, P., 31/01/2023, In: Computational Statistics and Data Analysis. 177, 13 p., 107551.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Contributions to Divide-and-Conquer MCMC

    Vyner, C., 2023, Lancaster University. 147 p.

    Research output: ThesisDoctoral Thesis

  8. Published

    Developments in Gaussian processes with applications to climate science and network problems.

    Pinder, T., 2023, Lancaster University. 224 p.

    Research output: ThesisDoctoral Thesis

  9. Published

    Sequential Inference with the Mallows Model

    Stein, A., 2023, Lancaster University. 206 p.

    Research output: ThesisDoctoral Thesis

  10. 2022
  11. Published

    Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise

    Romano, G., Rigaill, G., Runge, V. & Fearnhead, P., 31/12/2022, In: Journal of the American Statistical Association. 117, 540, p. 2147-2162

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. E-pub ahead of print

    Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes

    Laurini, F., Fearnhead, P. & Tawn, J., 1/11/2022, (E-pub ahead of print) In: Statistics and Computing. 32, 6

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Published

    Detecting A Single Change-point

    Fearnhead, P. & Fryzlewicz, P., 13/10/2022, Arxiv.

    Research output: Working paperPreprint

  14. Published
  15. Published

    Reformulating the susceptible–infectious–removed model in terms of the number of detected cases: well-posedness of the observational model

    Campillo-Funollet, E., Wragg, H., Yperen, J. V., Duong, D-L. & Madzvamuse, A., 3/10/2022, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 380, 2233, 15 p., 20210306.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Published

    Testing for a Change in Mean After Changepoint Detection

    Jewell, S., Fearnhead, P. & Witten, D., 30/09/2022, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 84, 4, p. 1082-1104 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  17. Published

    Variability in Antarctic surface climatology across regional climate models and reanalysis datasets

    Carter, J., Leeson, A., Orr, A., Kittel, C. & van Wessem, J. M., 23/09/2022, In: The Cryosphere. 16, 9, p. 3815–3841 27 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. Forthcoming

    Continuously-Tempered PDMP samplers

    Sutton, M., Salomone, R., Chevallier, A. & Fearnhead, P., 14/09/2022, (Accepted/In press) In: Advances in Neural Information Processing Systems. 35, 28293--28304

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. Published

    A linear time method for the detection of collective and point anomalies

    Fisch, A. T. M., Eckley, I. A. & Fearnhead, P., 31/08/2022, In: Statistical Analysis and Data Mining. 15, 4, p. 494-508 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  20. Published

    Real time anomaly detection and categorisation

    Fisch, A. T. M., Bardwell, L. & Eckley, I. A., 31/08/2022, In: Statistics and Computing. 32, 4, 15 p., 55.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  21. Published

    Consistency of a range of penalised cost approaches for detecting multiple changepoints

    Zheng, C., Eckley, I. & Fearnhead, P., 30/08/2022, In: Electronic Journal of Statistics. 16, 2, p. 4497-4546 50 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. Published

    cpop: Detection of Multiple Changes in Slope in Univariate Time-Series

    Grose, D. & Fearnhead, P., 23/08/2022

    Research output: Exhibits, objects and web-based outputsSoftware

  23. Published

    SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

    Vyner, C., Nemeth, C. & Sherlock, C., 8/08/2022.

    Research output: Working paperPreprint

  24. Published

    Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring

    Tveten, M., Eckley, I. & Fearnhead, P., 30/06/2022, In: Annals of Applied Statistics. 16, 2, p. 721-743 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. Published

    Semi-Exact Control Functionals From Sard's Method

    South, L., Karvonen, T., Nemeth, C., Girolami, M. & Oates, C. J., 30/06/2022, In: Biometrika. 109, 2, p. 351-367 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  26. Published

    Stochastic smoothing of point processes for wildlife-vehicle collisions on road networks

    Borrajo, M. I., Comas, C., Costafreda-Aumedes, S. & Mateu, J., 30/06/2022, In: Stochastic Environmental Research and Risk Assessment. 36, 6, p. 1563-1577 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. Published

    Subset Multivariate Collective And Point Anomaly Detection

    Fisch, A., Eckley, I. & Fearnhead, P., 30/06/2022, In: Journal of Computational and Graphical Statistics. 31, 2, p. 574-585 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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