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Changepoints and Time Series

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  1. Working paper
  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

    Mixtures of Nonlinear Poisson Autoregressions

    Doukhan, P., Fokianos, K. & Rynkiewicz, J., 2018.

    Research output: Working paper

  4. Conference article
  5. 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

  6. 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

  7. Preprint
  8. Published

    Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry

    Pishchagina, L., Romano, G., Fearnhead, P., Runge, V. & Rigaill, G., 2/11/2023, Arxiv.

    Research output: Working paper › Preprint

  9. Published

    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

  10. Forthcoming

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 23/02/2023, (Accepted/In press) Proceedings of Machine Learning Research, (Artificial Intelligence and Statistics; vol. 206).

    Research output: Working paper › Preprint

  11. Published

    Improving Power by Conditioning on Less in Post-selection Inference for Changepoints

    Carrington, R. & Fearnhead, P., 13/01/2023, Arxiv.

    Research output: Working paper › Preprint

  12. Published

    Detecting A Single Change-point

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

    Research output: Working paper › Preprint

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