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Dr Kaylea Haynes

Research student

  1. Doctoral Thesis
  2. Published

    Detecting abrupt changes in big data

    Haynes, K., 2017, Lancaster University. 186 p.

    Research output: ThesisDoctoral Thesis

  3. Journal article
  4. Published

    Parallelization of a Common Changepoint Detection Method

    Tickle, S., Eckley, I., Fearnhead, P. & Haynes, K., 1/04/2020, In: Journal of Computational and Graphical Statistics. 29, 1, p. 149-161 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    A computationally efficient nonparametric approach for changepoint detection

    Haynes, K., Fearnhead, P. & Eckley, I. A., 09/2017, In: Statistics and Computing. 27, 5, p. 1293-1305 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Computationally efficient changepoint detection for a range of penalties

    Haynes, K., A. Eckley, I. & Fearnhead, P., 02/2017, In: Journal of Computational and Graphical Statistics. 26, 1, p. 134-143 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    The Fitbit generation: from couch potato to marathon runner

    Haynes, K., 12/2015, In: Significance. 12, 6, p. 24-25 2 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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