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Publications & Outputs

  1. Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review

    Lund, R., Beaulieu, C., Killick, R., Lu, Q. & Shi, X., 31/12/2023, In: Journal of Climate. 36, 23, p. 8041-8057 17 p.

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

  2. 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

  3. Automatic Locally Stationary Time Series Forecasting with application to predicting U.K. Gross Value Added Time Series under sudden shocks caused by the COVID pandemic

    Killick, R., Knight, M. I., Nason, G. P., Nunes, M. A. & Eckley, I. A., 14/03/2023.

    Research output: Working paper › Preprint

  4. 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

  5. A multivariate pseudo-likelihood approach to estimating directional ocean wave models

    Grainger, J. P., Sykulski, A. M., Ewans, K., Hansen, H. F. & Jonathan, P., 8/02/2022, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  6. Multivariate sensitivity analysis for a large-scale climate impact and adaptation model

    Oyebamiji, O., Nemeth, C., Harrison, P., Dunford, R. & Cojocaru, G., 24/01/2022, Arxiv.

    Research output: Working paper › Preprint

  7. A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK

    Pinder, T., Hollaway, M., Nemeth, C., Young, P. J. & Leslie, D., 22/04/2021, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  8. 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

  9. Efficient Parameter Estimation of Sampled Random Fields

    Guillaumin, A. P., Sykulski, A. M., Olhede, S. C. & Simons, F. J., 4/07/2019, In: arXiv. 35 p.

    Research output: Contribution to Journal/Magazine › Journal article

  10. 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

  11. 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

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