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Statistical Artificial Intelligence

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  1. Published

    An integrated framework for quantifying immune-tumour interactions in a 3D co-culture model

    Al-Hity, G., Yang, F., Campillo-Funollet, E., Greenstein, A. E., Hunt, H., Mampay, M., Intabli, H., Falcinelli, M., Madzvamuse, A., Venkataraman, C. & Flint, M. S., 24/06/2021, In: Communications Biology. 4, 1, 12 p., 781.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    anomaly: An R package for detecting anomalies in data.

    Fisch, A., Grose, D., Eckley, I. & Fearnhead, P., 21/09/2018

    Research output: Exhibits, objects and web-based outputs › Software

  3. 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

  4. Published

    Approximations of the Restless Bandit Problem

    Grunewalder, S. & Khaleghi, A., 1/02/2019, In: Journal of Machine Learning Research. 20, 14, p. 1-37 37 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Artificial Synthesis of Conjugated Microporous Polymers via Sonogashira-Hagihara Coupling

    Thomas, J. M. H., Mollart, C., Turner, L., Heasman, P., Fayon, P. & Trewin, A., 20/08/2020, In: Journal of Physical Chemistry B (Soft Condensed Matter and Biophysical Chemistry). 124, 33, p. 7318-7326 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Unpublished

    Assessing and modelling extremal dependence in spatial extremes

    Kereszturi, M., 2017, (Unpublished) Lancaster University. 214 p.

    Research output: Thesis › Doctoral Thesis

  7. 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/Magazine › Journal article › peer-review

  8. Published

    Asymptotically consistent estimation of the number of change points in highly dependent time series

    Khaleghi, A. & Ryabko, D., 06/2014, Proceedings of The 31st International Conference on Machine Learning. p. 539-547 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    Asymptotics of ABC

    Fearnhead, P., 2018, Handbook of Approximate Bayesian Computation . Sisson, S., Fan, Y. & Beaumont, M. (eds.). CRC Press, p. 269-288 20 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  10. Published

    Asynchronous stochastic approximation with differential inclusions

    Perkins, S. & Leslie, D. S., 2012, In: Stochastic Systems. 2, p. 409-446 37 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  11. Published

    Attention driven memory

    Grunewalder, S. & Obermayer, K., 2005, CogSci 2005: XXVII Annual Conference of the Cognitive Science Society July 21-23 Stresa, Italy. Bara, B. G., Barsalou, L. & Bucciarelli, M. (eds.). Cognitive Science Society, p. 845-850 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. 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/Magazine › Journal article › peer-review

  13. 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

  14. Published

    Bandit learning in concave N-player games

    Bravo, M., Leslie, D. S. & Mertikopoulos, P., 2/12/2018, NeurIPS Proceedings. p. 5661-5671 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  15. Published

    Bandits with Delayed, Aggregated Anonymous Feedback

    Pike-Burke, C., Agrawal, S., Szepesvari, C. & Grunewalder, S., 15/07/2018, Proceedings of the International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden. Dy, J. (ed.). PMLR, p. 4105-4123 19 p. (Proceedings of Machine Learning Research; vol. 80).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  16. 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/Magazine › Journal article

  17. Published

    Bayesian calibration of firn densification models

    Verjans, V., Leeson, A., Nemeth, C., Stevens, C. M., Munneke, P. K., Noël, B. & Wessem, J. M. V., 15/09/2020, In: Cryosphere. 14, p. 3017-3032 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  18. 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/Magazine › Journal article › peer-review

  19. Published

    Bayesian emulation and calibration of an individual-based model of microbial communities

    Oyebamiji, O. K., Wilkinson, D., Li, B., Jayathilake, P. G., Zuliani, P. & Curtis, T., 01/2019, In: Journal of Computational Science. 30, p. 194-208 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  20. Published

    Bayesian Parameter Identification for Turing Systems on Stationary and Evolving Domains

    Campillo-Funollet, E., Venkataraman, C. & Madzvamuse, A., 11/10/2019, In: Bulletin of Mathematical Biology. 81, p. 81–104

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  21. Published

    Bayesian Reinforcement Learning in Markovian and non-Markovian Tasks

    Ez-Zizi, A., Farrell, S. & Leslie, D. S., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 579-586 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  22. Published

    Bayesian sequential experimental design for binary response data with application to electromyographic experiments

    Azadi, N. A., Fearnhead, P., Ridall, G. & Blok, J. H., 2014, In: Bayesian Analysis. 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  23. Published

    Bayesian spatial modelling of environmental and health data with applications in Brazilian Amazonia: linking environment and health in disadvantaged groups

    Chacon Montalvan, E., 2019, Lancaster University. 163 p.

    Research output: Thesis › Doctoral Thesis

  24. Published

    BayesProject: Fast computation of a projection direction for multivariate changepoint detection

    Hahn, G., Fearnhead, P. & Eckley, I., 1/11/2020, In: Statistics and Computing. 30, p. 1691–1705 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  25. Published

    Best-response Dynamics in Zero-sum Stochastic Games

    Leslie, D., Perkins, S. & Xu, Z., 1/09/2020, In: Journal of Economic Theory. 189, 31 p., 105095.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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