Home > Research > Statistical Artificial Intelligence > Publications & Outputs

Research

View graph of relations

Statistical Artificial Intelligence

1 - 50 out of 311Page size: 50
RSS feed of this list
  1. 2025
  2. Published

    Stochastic Gradient MCMC for Nonlinear State Space Models*

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 31/03/2025, In: Bayesian Analysis. 20, 1, p. 1385-1407 23 p.

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

  3. 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

  4. Published

    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., 2/01/2025, In: Journal of the American Statistical Association. 120, 549, p. 7-19 13 p.

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

  5. Published

    Robust and personalised online learning

    Arabzadeh, A., 2025, Lancaster University. 169 p.

    Research output: Thesis › Doctoral Thesis

  6. 2024
  7. 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

  8. 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

  9. Published

    Latent Space Modelling of Hypergraph Data

    Turnbull, K., Lunagomez, S., Nemeth, C. & Airoldi, E., 31/10/2024, In: Journal of the American Statistical Association. 119, 548, p. 2634-2646 13 p.

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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. Published

    Tropical Logistic Regression Model on Space of Phylogenetic Trees

    Aliatimis, G., Yoshida, R., Boyacı, B. & Grant, J., 2/07/2024, In: Bulletin of Mathematical Biology. 86, 99.

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

  17. Published

    cpop: Detecting changes in piecewise-linear signals

    Grose, D. & Fearnhead, P., 29/05/2024, In: Journal of Statistical Software. 109, 7, p. 1-30 30 p., 7.

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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 2023
  25. Published

    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., 31/12/2023, In: Journal of Glaciology. 69, 278, p. 1834-1845 12 p.

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

  26. 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

  27. 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

  28. Published

    Statistical Methods for Samples of Interaction Networks

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

    Research output: Thesis › Doctoral Thesis

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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. (Editor), 3/05/2023, In: PLoS One. 18, 5, 35 p., e0283350.

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

  38. 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

  39. Published

    {PF}2 ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization

    Qing, J., Moss, H. B., Dhaene, T. & Couckuyt, I., 25/04/2023, International Conference on Artificial Intelligence and Statistics. Ruiz, F., Dy, J. & van de Meent, J.-W. (eds.). PMLR, Vol. 206. p. 2565-2588 24 p. (Proceedings of Machine Learning Research; vol. 206).

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

  40. Published

    Inducing point allocation for sparse Gaussian processes in high-throughput Bayesian optimisation

    Moss, H. B., Ober, S. W. & Picheny, V., 25/04/2023, International Conference on Artificial Intelligence and Statistics. PMLR, Vol. 206. p. 5213-5230 18 p. (Proceedings of Machine Learning Research).

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

  41. 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

  42. 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/Magazine › Journal article › peer-review

  43. 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/Magazine › Journal article › peer-review

  44. 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

  45. Published

    Contributions to Divide-and-Conquer MCMC

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

    Research output: Thesis › Doctoral Thesis

  46. Published

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

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

    Research output: Thesis › Doctoral Thesis

  47. Published

    Sequential Inference with the Mallows Model

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

    Research output: Thesis › Doctoral Thesis

  48. 2022
  49. 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/Magazine › Journal article › peer-review

  50. 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/Magazine › Journal article › peer-review

  51. Published

    Detecting A Single Change-point

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

    Research output: Working paper › Preprint

  52. 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

  53. 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

  54. 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/Magazine › Journal article › peer-review

Previous 1 2 3 4 5 6 7 Next

Back to top