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Changepoints and Time Series

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  1. Published

    crops: Changepoints for a Range of Penalties (CROPS)

    Grose, D. & Fearnhead, P., 4/11/2021

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

  2. Forthcoming

    cpop: Detecting changes in piecewise-linear signals

    Grose, D. & Fearnhead, P., 6/10/2023, (Accepted/In press) In: Journal of Statistical Software.

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

  3. Published

    cpop: Detection of Multiple Changes in Slope in Univariate Time-Series

    Grose, D. & Fearnhead, P., 23/08/2022

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

  4. Published

    High-Dimensional Changepoint Detection via a Geometrically Inspired Mapping

    Grundy, T., Killick, R. & Mihaylov, G., 1/07/2020, In: Statistics and Computing. 30, p. 1155–1166 12 p.

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

  5. Unpublished

    On Aspects of Changepoint Analysis Motivated by Industrial Applications

    Grundy, T., 2022, (Unpublished) Lancaster University.

    Research output: Thesis › Doctoral Thesis

  6. E-pub ahead of print

    Indirect estimation of the monthly transport turnover indicator in Italy

    Guardabascio, B., Moauro, F. & Mosley, L., 19/03/2024, (E-pub ahead of print) In: Empirical Economics.

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

  7. Published

    Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements

    Guillaumin, A. P., Sykulski, A. M., Olhede, S. C., Early, J. J. & Lilly, J. M., 09/2017, In: Journal of Time Series Analysis. 38, 5, p. 668-710 43 p.

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

  8. Published

    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

  9. Forthcoming

    The Debiased Spatial Whittle Likelihood

    Guillaumin, A. P., Sykulski, A., Olhede, S. C. & Simons, F. J., 4/03/2022, (Accepted/In press) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

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

  10. Published

    Reducing Binary Quadratic Forms for More Scalable Quantum Annealing

    Hahn, G., Djidjev, H. & Djidjev, H. N., 2017, Rebooting Computing (ICRC), 2017 IEEE International Conference on. IEEE, p. 138-145 8 p.

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

  11. Published

    Optimal allocation of Monte Carlo simulations to multiple hypothesis tests

    Hahn, G., 1/05/2020, In: Statistics and Computing. 30, 3, p. 571-586 16 p.

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

  12. Published

    BayesProject: Fast computation of a projection direction for multivariate changepoint detection

    Hahn, G., Fearnhead, P. & Eckley, I., 1/11/2020, In: Statistics and Computing. 30, p. 1691–1705 15 p.

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

  13. Published

    Center-Outward R-Estimation for Semiparametric VARMA Models

    Hallin, M., La Vecchia, D. & Liu, H., 30/06/2022, In: Journal of the American Statistical Association. 117, 538, p. 925-938 14 p.

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

  14. Published

    M-Estimation in GARCH Models in the Absence of Higher-Order Moments

    Hallin, M., Liu, H. & Mukherjee, K., 1/06/2023, Research papers in Statistical Inference for Time Series and Related Models: Essays in Honor of Masanobu Taniguchi. 1 ed. Singapore: Springer, p. 195-219 25 p.

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

  15. Published

    Complex-valued wavelet lifting and applications

    Hamilton, J., Nunes, M. A., Knight, M. & Fryzlewicz, P., 22/02/2018, In: Technometrics. 60, 1, p. 48-60 13 p.

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

  16. 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/Magazine › Journal article › peer-review

  17. 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/Magazine › Journal article › peer-review

  18. Published

    Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 31/03/2020, In: Journal of Machine Learning Research. 21, p. 1-40 40 p.

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

  19. Published

    Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 7/02/2022, In: Journal of Statistical Software. 101, 10, 31 p.

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

  20. Published

    Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach

    Hollaway, M. J., Henrys, P. A., Killick, R., Leeson, A. & Watkins, J., 31/05/2021, In: Environmental Modelling and Software. 139, 10 p., 104993.

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

  21. Published

    Fast Nonconvex Deconvolution of Calcium Imaging Data

    Jewell, S., Hocking, T. D., Fearnhead, P. & Witten, D., 8/02/2019, In: Biostatistics. 21, 4

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

  22. 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

  23. Published

    Discussion of “Should we sample a time series more frequently? Decision support via multirate spectrum estimation” by Nason, Powell, Elliott and Smith

    Killick, R. C. & Norwood, B., 02/2017, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 180, 2, p. 394-395 2 p.

    Research output: Contribution to Journal/Magazine › Journal article

  24. 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

  25. Published

    Discussion of "Should we sample more frequently?: decision support via multirate spectrum estimation" by G. P. Nason, B. Powell, D. Elliott and P. A. Smith

    Knight, M. & Nunes, M. A., 02/2017, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 180, 2, p. 388-389 2 p.

    Research output: Contribution to Journal/Magazine › Journal article

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