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Statistical Artificial Intelligence

  1. 2016
  2. Published

    Projection methods for clustering and semi-supervised classification

    Hofmeyr, D., 2016, Lancaster University. 233 p.

    Research output: ThesisDoctoral Thesis

  3. Published

    Understanding consumer demand in customised pricing environments

    Patel, S., 2016, Lancaster University. 193 p.

    Research output: ThesisDoctoral Thesis

  4. E-pub ahead of print

    On optimal multiple changepoint algorithms for large data

    Maidstone, R., Hocking, T., Rigaill, G. & Fearnhead, P., 15/02/2016, (E-pub ahead of print) In: Statistics and Computing.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Consistent algorithms for clustering time series

    Khaleghi, A., Ryabko, D., Mari, J. & Preux, P., 03/2016, In: Journal of Machine Learning Research. 17, 3, p. 1-32 32 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Post-archival genomics and the bulk logistics of DNA sequences

    Mackenzie, A., McNally, R., Mills, R. & Sharples, S., 03/2016, In: BioSocieties. 11, 1, p. 82-105 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Nonparametric multiple change point estimation in highly dependent time series

    Khaleghi, A. & Ryabko, D., 21/03/2016, In: Theoretical Computer Science. 620, p. 119-133 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Assessing extremal dependence of North Sea storm severity

    Kereszturi, M., Tawn, J. A. & Jonathan, P., 15/05/2016, In: Ocean Engineering. 118, p. 242-259 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    Bayes Linear Methods for Large-Scale Network Search

    Turner, L., Dimitrov, N. B. & Fearnhead, P., 2/08/2016, In: arxiv.org.

    Research output: Contribution to Journal/MagazineJournal article

  10. Published

    Divisive clustering of high dimensional data streams

    Hofmeyr, D., Pavlidis, N. & Eckley, I., 09/2016, In: Statistics and Computing. 26, 5, p. 1101–1120 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    Particle Metropolis-adjusted Langevin algorithms

    Nemeth, C., Sherlock, C. & Fearnhead, P., 09/2016, In: Biometrika. 103, 3, p. 701-717 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Published

    Minimum Density Hyperplanes

    Pavlidis, N. G., Hofmeyr, D. & Tasoulis, S., 28/09/2016, In: Journal of Machine Learning Research. 17, 156, p. 1-33 33 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Published

    Augmentation schemes for particle MCMC

    Fearnhead, P. & Meligkotsidou, L., 11/2016, In: Statistics and Computing. 26, 6, p. 1293-1306 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. Published

    Efficient analysis of complex changepoint problems

    Maidstone, R., 11/2016, Lancaster University. 145 p.

    Research output: ThesisDoctoral Thesis

  15. Published

    Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost

    Nemeth, C., Fearnhead, P. & Mihaylova, L. S., 11/2016, In: Journal of Computational and Graphical Statistics. 25, 4, p. 1138-1157 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Published

    REX: a development platform and online learning approach for Runtime emergent software systems

    Porter, B. F., Grieves, M., Rodrigues Filho, R. & Leslie, D. S., 2/11/2016, Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation. USENIX Association, p. 333-348 16 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  17. Published

    Statistical emulation as a tool for analysing complex multiscale stochastic biological model outputs

    Oyebamiji, O. K. & Wilkinson, D. J., 30/11/2016, p. 67-68. 2 p.

    Research output: Contribution to conference - Without ISBN/ISSN Posterpeer-review

  18. 2017
  19. Unpublished

    Assessing and modelling extremal dependence in spatial extremes

    Kereszturi, M., 2017, (Unpublished) Lancaster University. 214 p.

    Research output: ThesisDoctoral Thesis

  20. Published

    Detecting abrupt changes in big data

    Haynes, K., 2017, Lancaster University. 186 p.

    Research output: ThesisDoctoral Thesis

  21. Published

    Efficient analysis of data streams

    Davies, R., 2017, Lancaster University. 132 p.

    Research output: ThesisDoctoral Thesis

  22. Published

    Inference and decision making in large weakly dependent graphical models

    Turner, L., 2017, Lancaster University. 188 p.

    Research output: ThesisDoctoral Thesis

  23. Published

    Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces

    Page, S. & Grunewalder, S., 2017, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal article

  24. Published

    Bayesian detection of abnormal segments in multiple time series

    Bardwell, L. & Fearnhead, P., 01/2017, In: Bayesian Analysis. 12, 1, p. 193-218 26 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. Published

    Mixed-strategy learning with continuous action sets

    Perkins, S., Mertikopoulos, P. & Leslie, D. S., 01/2017, In: IEEE Transactions on Automatic Control. 62, 1, p. 379-384 6 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  26. Published

    Computationally efficient changepoint detection for a range of penalties

    Haynes, K., A. Eckley, I. & Fearnhead, P., 02/2017, In: Journal of Computational and Graphical Statistics. 26, 1, p. 134-143 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. Published

    Discussion of “Should we sample a time series more frequently? Decision support via multirate spectrum estimation” by Nason, Powell, Elliott and Smith

    Killick, R. C. & Norwood, B., 02/2017, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 180, 2, p. 394-395 2 p.

    Research output: Contribution to Journal/MagazineJournal article

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