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Statistical Artificial Intelligence

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  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/Magazine › Journal article › peer-review

  3. Published

    Scalable Bayesian Inference Using Stochastic Gradient Markov Chain Monte Carlo

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

    Research output: Thesis › Doctoral 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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-review

  10. Published

    Statistical Methods for Samples of Interaction Networks

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

    Research output: Thesis › Doctoral 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/Magazine › Journal article › peer-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/Magazine › Journal 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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Journal article › peer-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/Magazine › Conference article › peer-review

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