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Statistical Artificial Intelligence

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  1. 2023
  2. 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/Magazine › Journal article › peer-review

  3. 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/Magazine › Journal article › peer-review

  4. Published

    Contributions to Divide-and-Conquer MCMC

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

    Research output: Thesis › Doctoral Thesis

  5. Published

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

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

    Research output: Thesis › Doctoral Thesis

  6. Published

    Sequential Inference with the Mallows Model

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

    Research output: Thesis › Doctoral Thesis

  7. 2022
  8. 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/Magazine › Journal article › peer-review

  9. 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/Magazine › Journal article › peer-review

  10. Published

    Detecting A Single Change-point

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

    Research output: Working paper › Preprint

  11. Published

    LancasterAQ: A High Resolution Street Level Dataset of Ultrafine Particles

    Amos, M., Booker, D., Duncan, R., Gouldsbrough, L., Pinder, T., Young, P. & Carter, J., 3/10/2022, EarthArXiv.

    Research output: Working paper › Preprint

  12. 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/Magazine › Journal article › peer-review

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