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Statistical Artificial Intelligence

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  1. Published

    Model switching and model averaging in time-varying parameter regression models

    Gonzalez Belmonte, M. A. & Koop, G., 2014, Bayesian model comparision. Emerald Group Publishing Ltd., p. 45-69 25 p. (Advances in Econometrics; vol. 34).

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

  2. Published

    A linear time method for the detection of point and collective anomalies

    Fisch, A., Eckley, I. A. & Fearnhead, P. N., 5/06/2018, Arxiv, p. 1-40, 40 p.

    Research output: Working paper

  3. Published

    A linear time method for the detection of point and collective anomalies

    Fisch, A. T. M., Eckley, I. A. & Fearnhead, P., 7/06/2018, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  4. Published

    anomaly: An R package for detecting anomalies in data.

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

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

  5. 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/Magazine › Journal article › peer-review

  6. Published

    Innovative and Additive Outlier Robust Kalman Filtering with a Robust Particle Filter

    Fisch, A., Eckley, I. & Fearnhead, P., 31/01/2022, In: IEEE Transactions on Signal Processing. 70, p. 47-56 10 p.

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

  7. Published

    RobKF: Innovative and/or Additive Outlier Robust Kalman Filtering

    Fisch, A., Grose, D., Eckley, I., Fearnhead, P. & Bardwell, L., 2020

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

  8. Published

    anomaly: Detection of Anomalous Structure in Time Series Data

    Fisch, A., Grose, D., Eckley, I. A., Fearnhead, P. & Bardwell, L., 29/08/2024, In: Journal of Statistical Software. 110, 1, p. 1-24 24 p., 1.

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

  9. 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/Magazine › Journal article › peer-review

  10. 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/Magazine › Journal article › peer-review

  11. Published

    Inference for reaction networks using the linear noise approximation

    Fearnhead, P., Giagos, V. & Sherlock, C., 2014, In: Biometrics. 70, p. 457-466 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › 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

    Estimating the relative rate of recombination to mutation in bacteria from single-locus variants using composite likelihood methods

    Fearnhead, P., Yu, S., Biggs, P., Holland, B. & French, N., 1/03/2015, In: Annals of Applied Statistics. 9, 1, p. 200-224

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

  14. Published

    Changepoint Detection in the Presence of Outliers

    Fearnhead, P. & Rigaill, G., 1/04/2019, In: Journal of the American Statistical Association. 114, 525, p. 169-183 15 p.

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

  15. Published

    Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo

    Fearnhead, P. N., Bierkens, J., Pollock, M. & Roberts, G., 13/08/2018, In: Statistical Science. 33, 3, p. 386-412 27 p.

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

  16. Published

    Detecting changes in slope with an L0 penalty

    Fearnhead, P., Maidstone, R. & Letchford, A., 1/06/2019, In: Journal of Computational and Graphical Statistics. 28, 2, p. 265-275 11 p.

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

  17. 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

  18. Published

    Particle Filters and Data Assimilation

    Fearnhead, P. & Künsch, H., 03/2018, In: Annual Review of Statistics and Its Application. 5, p. 421-449 29 p.

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

  19. Published

    Relating and Comparing Methods for Detecting Changes in Mean

    Fearnhead, P. & Rigaill, G., 1/12/2020, In: Stat. 9, 1, 11 p., e291.

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

  20. Published

    Detecting A Single Change-point

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

    Research output: Working paper › Preprint

  21. Published

    Generalised linear mixed model analysis via sequential Monte Carlo sampling

    Fan, Y., Leslie, D. S. & Wand, M. P., 1/01/2008, In: Electronic Journal of Statistics. 2, p. 916-938 22 p.

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

  22. Published

    GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

    Fairbrother, J., Nemeth, C., Pinder, T., Rischard, M. & Brea, J., 30/04/2022, In: Journal of Statistical Software. 102, 1, p. 1-36 36 p.

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

  23. 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

  24. Published

    Live-cell single-molecule tracking highlights requirements for stable Smc5/6 chromatin association in vivo

    Etheridge, T. J., Villahermosa, D., Campillo-Funollet, E., Herbert, A. D., Irmisch, A., Watson, A. T., Dang, H. Q., Osborne, M. A., Oliver, A. W., Carr, A. M. & Murray, J. M., 16/04/2021, In: eLife. 10, 19 p., e68579.

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

  25. Published

    Just browsing? understanding user journeys in online TV

    Elkhatib, Y., Killick, R., Mu, M. & Race, N., 11/2014, MM '14 Proceedings of the ACM International Conference on Multimedia. New York: ACM, p. 965-968 4 p.

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

  26. Published

    Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling

    Eide, S., Leslie, D. S. & Frigessi, A., 30/04/2021, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  27. Published

    FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research

    Eide, S., Frigessi, A., Jenssen, H., Leslie, D., Rishaug, J. & Verrewaere, S., 13/09/2021, RecSys '21: Fifteenth ACM Conference on Recommender Systems. New York: ACM, p. 556-558 3 p.

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

  28. Published

    On the identification and mitigation of weaknesses in the Knowledge Gradient policy for multi-armed bandits

    Edwards, J., Fearnhead, P. & Glazebrook, K. D., 04/2017, In: Probability in the Engineering and Informational Sciences. 31, 2, p. 239-263 25 p.

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

  29. Published

    Exploration and exploitation in Bayes sequential decision problems

    Edwards, J., 2016, Lancaster University. 160 p.

    Research output: Thesis › Doctoral Thesis

  30. Published

    Diversity as a Response to User Preference Uncertainty

    Edwards, J. A. & Leslie, D. S., 04/2018, Statistical Data Science. Adams, N. & Cohen, E. (eds.). World Scientific, p. 55-68 14 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  31. Published

    Proposal of the vote of thanks for the paper by Frick, Munk and Sieling

    Eckley, I., 06/2014, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 76, 3, p. 541-542 2 p.

    Research output: Contribution to Journal/Magazine › Journal article

  32. Published

    Spectral correction for locally stationary Shannon wavelet processes

    Eckley, I. & Nason, G. P., 2014, In: Electronic Journal of Statistics. 8, 1, p. 184-200 17 p.

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

  33. Published

    A test for the absence of aliasing or white noise in locally stationary wavelet time series

    Eckley, I. A. & Nason, G. P., 24/09/2018, In: Biometrika. 105, 4, p. 833–848 16 p.

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

  34. Published

    Effects of flood hazard visualization format on house purchasing decisions

    Dobson, B. A., Miles-Wilson, J. J., Gilchrist, I. D., Leslie, D. S. & Wagener, T., 2018, In: Urban Water Journal . 15, 7, p. 671-681 11 p.

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

  35. Published

    The effect of recovery algorithms on compressive sensing background subtraction

    Davies, R., Mihaylova, L., Pavlidis, N. & Eckley, I., 10/2013, Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on. IEEE, p. 1-6 6 p.

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

  36. Published

    Efficient analysis of data streams

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

    Research output: Thesis › Doctoral Thesis

  37. 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

  38. Published

    Agricultural productivity in past societies: toward an empirically informed model for testing cultural evolutionary hypotheses

    Currie, T. E., Bogaard, A., Cesaretti, R., Edwards, N., Francois, P., Holden, P., Hoyer, D., Korotayev, A., Manning, J., Moreno Garcia, J. C., Oyebamiji, O. K., Petrie, C., Turchin, P., Whitehouse, H. & Williams, A., 1/01/2015, In: Cliodynamics. 6, 1, p. 24-56 33 p.

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

  39. Published

    SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms

    Coullon, J. & Nemeth, C., 18/04/2022, In: Journal of Open Source Software. 7, 72, 2 p., 4113.

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

  40. Published

    Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC

    Coullon, J., South, L. & Nemeth, C., 27/05/2021, Arxiv.

    Research output: Working paper › Preprint

  41. 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

  42. Published

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

    Cho, H., Maeng, H., Eckley, I. A. & Fearnhead, P., 2/07/2024, In: Journal of the American Statistical Association. 119, 547, p. 2038-2050 13 p.

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

  43. 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

  44. Published

    PDMP Monte Carlo methods for piecewise-smooth densities

    Chevallier, A., Power, S., Wang, A. Q. & Fearnhead, P., 7/11/2024, In: Advances in Applied Probability. 56, 4, p. 1153-1194 42 p.

    Research output: Contribution to Journal/Magazine › Journal article

  45. Published

    Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes

    Chevallier, A., Cazals, F. & Fearnhead, P., 28/03/2022, In: Proceedings of Machine Learning Research. 151, p. 10146-10160 15 p.

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

  46. Published

    Learning in unknown reward games: application to sensor networks

    Chapman, A. C., Leslie, D. S., Rogers, A. & Jennings, N. R., 1/06/2014, In: The Computer Journal. 57, 6, p. 875-892 18 p.

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

  47. Published

    A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems

    Chapman, A. C., Rogers, A., Jennings, N. R. & Leslie, D. S., 1/12/2011, In: Knowledge Engineering Review. 26, 04, p. 411-444 34 p.

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

  48. 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

  49. Published

    Rainfall variability and adverse birth outcomes in Amazonia

    Chacon Montalvan, E., Taylor, B., Da Cunha, G., Davies, G., Orellana, J. & Parry, L., 31/07/2021, In: Nature Sustainability. 4, 7, p. 583-594 12 p.

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

  50. Published

    Changes in microbial utilization and fate of soil carbon following the addition of different fractions of anaerobic digestate to soils

    Cattin, M., Semple, K., Stutter, M., Romano, G., Lag Brotons, A., Parry, C. & Surridge, B., 30/11/2021, In: European Journal of Soil Science. 72, 6, p. 2398-2413 16 p.

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

  51. 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/Magazine › Journal article › peer-review

  52. Published

    Statistical approaches for understanding and correcting systematic errors in climate model estimates of Antarctic surface climatology.

    Carter, J., 2024, Lancaster University. 179 p.

    Research output: Thesis › Doctoral Thesis

  53. Published

    Bayesian hierarchical model for bias-correcting climate models

    Carter, J., Chacón-Montalván, E. A. & Leeson, A., 31/07/2024, In: Geoscientific Model Development. 17, 14, p. 5733-5757 25 p.

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

  54. Published

    Exceptional retreat of Novaya Zemlya's marine-terminating outlet glaciers between 2000 and 2013

    Carr, J. R., Bell, H., Killick, R. C. & Holt, T., 8/09/2017, In: Cryosphere. 11, 5, p. 2149-2174 26 p.

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

  55. 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

  56. Published

    Predicting and forecasting the impact of local outbreaks of COVID-19: use of SEIR-D quantitative epidemiological modelling for healthcare demand and capacity

    Campillo-Funollet, E., Yperen, J. V., Allman, P., Bell, M., Beresford, W., Clay, J., Dorey, M., Evans, G., Gilchrist, K., Memon, A., Pannu, G., Walkley, R., Watson, M. & Madzvamuse, A., 30/08/2021, In: International Journal of Epidemiology. 50, 4, p. 1103-1113 11 p.

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

  57. 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

  58. Published

    Evaluation of the Chief Nursing Officer's Review of Mental Health Nursing in England

    Callahan, P., Repper, J., Lovell, K., Playle, J., Baker, J., Clifton, A., Shaw, T., Stacey, G., Nelson, P., Minshull, S., Swarbrick, C., Schneider, J. & Watkins, M., 2009, University of Nottingham.

    Research output: Book/Report/Proceedings › Other report

  59. Forthcoming

    Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

    Cabezas Gonzalez, A., Sharrock, L. & Nemeth, C., 25/09/2024, (Accepted/In press) In: Advances in Neural Information Processing Systems.

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

  60. Published

    Advances in Bayesian Computation: Bridging Modern Machine Learning and Traditional Monte Carlo Methods

    Cabezas Gonzalez, A., 18/03/2025, Lancaster University. 177 p.

    Research output: Thesis › Doctoral Thesis

  61. Published

    Transport Elliptical Slice Sampling

    Cabezas, A. & Nemeth, C., 25/04/2023, In: Proceedings of Machine Learning Research. 206, p. 3664-3676 13 p.

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

  62. Published

    Robust Bayesian nonparametric variable selection for linear regression

    Cabezas, A., Battiston, M. & Nemeth, C., 27/05/2024, In: Stat. 13, 2, e696.

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

  63. Published

    Ice front change of marine-terminating outlet glaciers in northwest and southeast Greenland during the 21st Century

    Bunce, C., Carr, J. R., Nienow, P., Ross, N. & Killick, R. C., 08/2018, In: Journal of Glaciology. 64, 246, p. 523-535 13 p.

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

  64. Published

    Optimal hunting conditions drive circalunar behavior of a diurnal canivore

    Broekhuis, F., Grunewalder, S., McNutt, J. W. & Macdonald, D. W., 09/2014, In: Behavioral Ecology. 25, 5, p. 1268-1275 8 p.

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

  65. 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

  66. 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/Magazine › Journal article › peer-review

  67. Published

    Coarse resistance tree methods for stochastic stability analysis

    Borowski, H., Marden, J. R., Leslie, D. S. & Frew, E. W., 2013, Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on. IEEE, p. 1860-1865 6 p.

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

  68. Published

    Telling the Researcher STOR-i With Data Science: Elsevier data scientists are working with Lancaster University researchers to advance our understanding of researcher behaviors

    Bolt, G. (Other), Muncey, H., Lunagomez Coria, S. (Other) & Nemeth, C. (Other), 2020

    Research output: Exhibits, objects and web-based outputs › Web publication/site

  69. Published

    Modelling Populations of Interaction Networks via Distance Metrics

    Bolt, G., Lunagómez, S. & Nemeth, C., 20/06/2022.

    Research output: Working paper › Preprint

  70. Published

    Distances for Comparing Multisets and Sequences

    Bolt, G., Lunagómez, S. & Nemeth, C., 17/06/2022, Arxiv.

    Research output: Working paper › Preprint

  71. Published

    Statistical Methods for Samples of Interaction Networks

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

    Research output: Thesis › Doctoral Thesis

  72. Published

    Construction of approximation spaces for reinforcement learning

    Böhmer, W., Grunewalder, S., Shen, Y., Musial, M. & Obermayer, K., 2013, In: Journal of Machine Learning Research. 14, p. 2067-2118 52 p.

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

  73. Published

    Regularized sparse kernel slow feature analysis

    Böhmer, W., Grunewalder, S., Nickisch, H. & Obermayer, K., 2011, Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2011. Gunopulos, D., Hoffmann, T., Malerba, D. & Vazirgiannis, M. (eds.). Berlin: Springer, p. 235-248 14 p. (Lecture Notes in Computer Science; vol. 6911).

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

  74. Published

    Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis

    Böhmer, W., Grunewalder, S., Nickisch, H. & Obermayer, K., 10/2012, In: Machine Learning. 89, 1, p. 67-86 20 p.

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

  75. 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

  76. Published

    The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord

    Blair, G., Bassett, R., Bastin, L., Beevers, L., Borrajo Garcia, M., Brown, M., Dance, S., Dionescu, A., Edwards, L., Ferrario, M. A., Fraser, R., Fraser, H., Gardner, S., Henrys, P. A., Hey, T., Homann, S., Huijbers, C., Hutchison, J., Jonathan, P. & Lamb, R. & 21 others, Laurie, S., Leeson, A., Leslie, D., McMillan, M., Nundloll, V., Oyebamiji, O., Phillipson, J., Pope, V., Prudden, R., Reis, S., Salama, M., Samreen, F., Sejdinovic, D., Simm, W., Street, R., Thornton, L., Towe, R., Vande Hey, J. D., Vieno, M., Waller, J. & Watkins, J., 8/01/2021, In: Patterns. 2, 1, 8 p., 100156.

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

  77. Published

    The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data

    Bierkens, J., Fearnhead, P. & Roberts, G., 13/02/2019, In: Annals of Statistics. 47, 3, p. 1288-1320 33 p.

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

  78. Published

    Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains

    Bierkens, J., Bouchard-Côté, A., Doucet, A., Duncan, A. B., Fearnhead, P., Lienart, T., Roberts, G. & Vollmer, S. J., 1/05/2018, In: Statistics and Probability Letters. 136, p. 148-154 7 p.

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

  79. Published

    Multi-armed bandit for species discovery: A Bayesian nonparametric approach

    Battiston, M., Favaro, S. & Teh, Y. W., 1/06/2018, In: Journal of the American Statistical Association. 113, 521, p. 455-466 12 p.

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

  80. Published

    A characterization of product-form exchangeable feature probability functions

    Battiston, M., Favaro, S., Roy, D. M. & Teh, Y. W., 1/06/2018, In: Annals of Applied Probability. 28, 3, p. 1423-1448 26 p.

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

  81. Published

    A Bayesian Nonparametric Approach to Differentially Private Data

    Battiston, M., Ayed, F. & Di Benedetto, G., 16/09/2020, Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Proceedings. Domingo-Ferrer, J. & Muralidhar, K. (eds.). Springer, p. 32-48 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12276 LNCS).

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

  82. Published

    Consistent estimation of small masses in feature sampling

    Battiston, M., Ayed, F., Camerlenghi, F. & Favaro, S., 31/01/2021, In: Journal of Machine Learning Research. 22, 6, p. 1-28 28 p.

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

  83. Published

    Tropical geometric tools for machine learning: the TML package

    Barnhill, D., Yoshida, R., Aliatimis, G. & Miura, K., 5/10/2024, In: Journal of Software for Algebra and Geometry. 14, 1, p. 133-174 42 p.

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

  84. 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

  85. Published

    Efficient search methods for high dimensional time-series

    Bardwell, L., 2018, Lancaster University. 196 p.

    Research output: Thesis › Doctoral Thesis

  86. Published

    Most recent changepoint detection in Panel data

    Bardwell, L., Fearnhead, P. N., Eckley, I. A., Smith, S. & Spott, M., 2/01/2019, In: Technometrics. 61, 1, p. 88-98 11 p.

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

  87. Published

    Generalization bounds for learning weighted automata

    Balle, B. & Mohri, M., 15/03/2018, In: Theoretical Computer Science. 716, p. 89-106 18 p.

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

  88. Published

    Control variates for stochastic gradient MCMC

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 1/05/2019, In: Statistics and Computing. 29, 3, p. 599-615 17 p.

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

  89. Published

    sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C. J., 31/10/2019, In: Journal of Statistical Software. 91, 3, p. 1-27 27 p.

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

  90. Published

    Large-Scale Stochastic Sampling from the Probability Simplex

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 3/12/2018, p. 6722-6732 . 11 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  91. Published

    Large-scale Bayesian computation using Stochastic Gradient Markov Chain Monte Carlo

    Baker, J., 2019, Lancaster University. 221 p.

    Research output: Thesis › Doctoral Thesis

  92. Published

    Sufficientness postulates for Gibbs-type priors and hierarchial generalizations

    Bacallado, S., Battiston, M., Favaro, S. & Trippa, L., 28/11/2017, In: Statistical Science. 32, 4, p. 487-500 14 p.

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

  93. 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

  94. Published

    A Good-Turing estimator for feature allocation models

    Ayed, F., Battiston, M., Camerlenghi, F. & Favaro, S., 1/10/2019, In: Electronic Journal of Statistics. 13, 2, p. 3775-3804 30 p.

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

  95. Published

    An Information Theoretic approach to Post Randomization Methods under Differential Privacy

    Ayed, F., Battiston, M. & Camerlenghi, F., 1/09/2020, In: Statistics and Computing. 30, p. 1347–1361 15 p.

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

  96. Published

    On consistent and rate optimal estimation of the missing mass

    Ayed, F., Battiston, M., Camerlenghi, F. & Favaro, S., 31/08/2021, In: Annales de l'institut Henri Poincare (B) Probability and Statistics. 57, 3, p. 1476-1494 19 p.

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

  97. 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

  98. Published

    Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation

    Arabzadeh, A., Grant, J. A. & Leslie, D. S., 11/09/2024, Arxiv.

    Research output: Working paper › Preprint

  99. Forthcoming

    Federated χ-armed Bandit with Flexible Personalisation

    Arabzadeh, A., Grant, J. A. & Leslie, D. S., 27/11/2024, (Accepted/In press) In: Transactions on Machine Learning Research. 2024, 15 p.

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

  100. 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

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