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Statistical Artificial Intelligence

  1. 2024
  2. Published

    Automatic Change-Point Detection in Time Series via Deep Learning

    Li, J., Fearnhead, P., Fryzlewicz, P. & Wang, T., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 273-285 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Scalable Bayesian Inference Using Stochastic Gradient Markov Chain Monte Carlo

    Putcha, S., 6/03/2024, Lancaster University. 161 p.

    Research output: ThesisDoctoral Thesis

  4. Published

    Hasimoto frames and the Gibbs measure of the periodic nonlinear Schrödinger equation

    Blower, G., Khaleghi, A. & Kuchemann-Scales, M., 1/02/2024, In: Journal of Mathematical Physics. 65, 2, 022705.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    A Log-Linear Non-Parametric Online Changepoint Detection Algorithm based on Functional Pruning

    Romano, G., Eckley, I. & Fearnhead, P., 31/01/2024, In: IEEE Transactions on Signal Processing. 72, p. 594 - 606 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. 2023
  7. Published

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

    Vyner, C., Nemeth, C. & Sherlock, C., 31/12/2023, In: Stat. 12, 1, 11 p., e523.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Forthcoming

    anomaly: Detection of Anomalous Structure in Time Series Data

    Fisch, A., Grose, D., Eckley, I. A., Fearnhead, P. & Bardwell, L., 21/12/2023, (Accepted/In press) In: Journal of Statistical Software.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    A stochastic game framework for patrolling a border

    Darlington, M., Glazebrook, K., Shone, R., Leslie, D. & Szechtman, R., 16/12/2023, In: European Journal of Operational Research. 311, 3, p. 1146-1158 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Statistical Methods for Samples of Interaction Networks

    Bolt, G., 12/2023, Lancaster University. 255 p.

    Research output: ThesisDoctoral Thesis

  11. Published

    Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2

    Rimella, L., Alderton, S., Sammarro, M., Rowlingson, B., Cocker, D., Feasey, N., Fearnhead, P. & Jewell, C., 30/11/2023, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 72, 5, p. 1435–1451

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Forthcoming

    PDMP Monte Carlo methods for piecewise-smooth densities

    Chevallier, A., Power, S., Wang, A. Q. & Fearnhead, P., 9/11/2023, (Accepted/In press) In: Advances in Applied Probability.

    Research output: Contribution to Journal/MagazineJournal article

  13. Published

    Semiparametric detection of changepoints in location, scale, and copula

    Agarwal, G., Eckley, I. A. & Fearnhead, P., 31/10/2023, In: Statistical Analysis and Data Mining: The ASA Data Science Journal. 16, 5, p. 456-473 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. E-pub ahead of print

    Latent Space Modelling of Hypergraph Data

    Turnbull, K., Lunagomez, S., Nemeth, C. & Airoldi, E., 23/10/2023, (E-pub ahead of print) In: Journal of the American Statistical Association.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  15. Forthcoming

    cpop: Detecting changes in piecewise-linear signals

    Grose, D. & Fearnhead, P., 6/10/2023, (Accepted/In press) In: Journal of Statistical Software.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Published

    Concave-Convex PDMP-based sampling

    Sutton, M. & Fearnhead, P., 2/10/2023, In: Journal of Computational and Graphical Statistics. 32, 4, 22 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  17. Forthcoming

    Learning Rate Free Bayesian Inference in Constrained Domains

    Sharrock, L., Mackey, L. & Nemeth, C., 21/09/2023, (Accepted/In press) In: Advances in Neural Information Processing Systems. 37

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. E-pub ahead of print

    Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection

    Ward, K., Dilillo, G., Eckley, I. & Fearnhead, P., 6/09/2023, (E-pub ahead of print) In: Journal of the American Statistical Association. 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. E-pub ahead of print

    Characterising the ice sheet surface in North East Greenland using Sentinel-1 SAR data

    Shu, Q., Killick, R., Leeson, A., Nemeth, C., Fettweis, X., Hogg, A. & Leslie, D., 31/08/2023, (E-pub ahead of print) In: Journal of Glaciology. 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  20. Published

    COVID-19 transmission dynamics and the impact of vaccination: modelling, analysis and simulations

    Malinzi, J., Juma, V. O., Madubueze, C. E., Mwaonanji, J., Nkem, G. N., Mwakilama, E., Mupedza, T. V., Chiteri, V. N., Bakare, E. A., Moyo, I. L-Z., Campillo-Funollet, E., Nyabadza, F. & Madzvamuse, A., 31/07/2023, In: Royal Society Open Science. 10, 7, 24 p., 221656.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  21. Published

    Reversible Jump PDMP Samplers for Variable Selection

    Chevallier, A., Fearnhead, P. & Sutton, M., 31/07/2023, In: Journal of the American Statistical Association. 118, 544, p. 2915-2927

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. Forthcoming

    High-dimensional time series segmentation via factor-adjusted vector autoregressive modelling

    Cho, H., Maeng, H., Eckley, I. A. & Fearnhead, P., 14/07/2023, (Accepted/In press) In: Journal of the American Statistical Association. p. 1-13 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  23. Published

    Efficient and generalizable tuning strategies for stochastic gradient MCMC

    Coullon, J., South, L. & Nemeth, C., 30/06/2023, In: Statistics and Computing. 33, 3, 66.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  24. Forthcoming

    Stochastic Gradient MCMC for Nonlinear State Space Models

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 8/06/2023, (Accepted/In press) In: Bayesian Analysis.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. Published

    Collective Anomaly Detection in High-Dimensional Var Models

    Maeng, H., Eckley, I. & Fearnhead, P., 31/05/2023, In: Statistica Sinica. 33, 1603-1627, p. 1603-1627 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  26. Published

    A hospital demand and capacity intervention approach for COVID-19

    Van Yperen, J., Campillo-Funollet, E., Inkpen, R., Memon, A., Madzvamuse, A. & Ndeffo-Mbah, M. L. (ed.), 3/05/2023, In: PLoS One. 18, 5, 35 p., e0283350.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. Published

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 27/04/2023, In: Proceedings of Machine Learning Research. 206, p. 8837-8856 20 p.

    Research output: Contribution to Journal/MagazineConference articlepeer-review

  28. 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

  29. 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

  30. 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

  31. Published
  32. 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

  33. Published

    Contributions to Divide-and-Conquer MCMC

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

    Research output: ThesisDoctoral Thesis

  34. Published

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

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

    Research output: ThesisDoctoral Thesis

  35. Published

    Sequential Inference with the Mallows Model

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

    Research output: ThesisDoctoral Thesis

  36. 2022
  37. 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

  38. 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

  39. Published

    Detecting A Single Change-point

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

    Research output: Working paperPreprint

  40. Published
  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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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