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Changepoints and Time Series

  1. Published

    The sparse dynamic factor model: a regularised quasi-maximum likelihood approach

    Mosley, L., Chan, T-S. & Gibberd, A., 22/01/2024, In: Statistics and Computing. 34, 68.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Published

    The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data

    Bierkens, J., Fearnhead, P. & Roberts, G., 13/02/2019, In: Annals of Statistics. 47, 3, p. 1288-1320 33 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Trend Locally Stationary Wavelet Processes

    McGonigle, E., Killick, R. & Nunes, M., 30/11/2022, In: Journal of Time Series Analysis. 43, 6, p. 895-917 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    tscount: An R package for analysis of count time series following generalized linear models

    Liboschik, T., Fokianos, K. & Fried, R., 30/11/2017, In: Journal of Statistical Software. 82, 5, 51 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Two-sample smooth tests for the equality of distributions

    Zhou, W-X., Zheng, C. & Zhang, Z., 4/02/2017, In: Bernoulli. 23, 2, p. 951-989 39 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Using graph partitioning for scalable distributed quantum molecular dynamics

    Djidjev, H. N., Hahn, G., Mniszewski, S. M., Negre, C. F. A. & Niklasson, A. M. N., 7/09/2019, In: Numerical Algorithms. 12, 9, 19 p., 187.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Using Graph Partitioning for Scalable Distributed Quantum Molecular Dynamics

    Djidjev, H. N., Hahn, G., Mniszewski, S. M., Negre, C. F. A., Niklasson, A. M. N. & Sardeshmukh, V. B., 26/06/2019, In: arxiv.org.

    Research output: Contribution to Journal/MagazineJournal article

  8. Published

    Wavelet methods for locally stationary time series

    McGonigle, E., 2020, Lancaster University. 228 p.

    Research output: ThesisDoctoral Thesis

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