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Research

Dr Alex Gibberd

Lecturer in Statistics

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  1. 2018
  2. Published

    Temporally Smoothed Wavelet Coherence for Multivariate Point-Processes and Neuron-Firing

    Gibberd, A. & Cohen, E., 28/10/2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, p. 1220-1224 5 p.

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

  3. Published

    The locally stationary dual-tree complex wavelet model

    Nelson, J., Gibberd, A., Nafornita, C. & Kingsbury, N., 11/2018, In: Statistics and Computing. 28, 6, p. 1139-1154 16 p.

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

  4. 2020
  5. E-pub ahead of print

    Consistent multiple changepoint estimation with fused Gaussian graphical models

    Gibberd, A. & Roy, S., 17/03/2020, (E-pub ahead of print) In: Annals of the Institute of Statistical Mathematics. 27 p.

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

  6. Published

    Interpretable brain age prediction using linear latent variable models of functional connectivity

    Monti, R. P., Gibberd, A., Roy, S., Nunes, M., Lorenz, R., Leech, R., Ogawa, T., Kawanabe, M. & Hyvärinen, A., 10/06/2020, In: PLoS ONE. 15, 6, 25 p., e0232296.

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

  7. 2022
  8. Published

    Wavelet Spectra for Multivariate Point Processes

    Cohen, E. & Gibberd, A., 30/09/2022, In: Biometrika. 109, 3, p. 837–851 15 p.

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

  9. Published

    Sparse temporal disaggregation

    Mosley, L., Eckley, I. & Gibberd, A., 31/10/2022, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 185, 4, p. 2203-2233 31 p.

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

  10. 2023
  11. Published

    Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints

    Chan, T-S. & Gibberd, A., 23/03/2023, Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. Wani, M. A., Kantardzic, M., Palade, V., Neagu, D., Yang, L. & Chan, K-Y. (eds.). IEEE, p. 1551-1558 8 p. (2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)).

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

  12. Published

    Stranded houses? The price effect of a minimum energy efficiency standard

    Ferentinos, K., Gibberd, A. & Guin, B., 30/04/2023, In: Energy Economics. 120, 19 p., 106555.

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

  13. Published

    When “time varying” volatility meets “transaction cost” in portfolio selection

    Qiao, W., Bu, D., Gibberd, A., Liao, Y., Wen, T. & Li, E., 30/09/2023, In: Journal of Empirical Finance. 73, p. 220-237 18 p.

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

  14. 2024
  15. 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/Magazine › Journal article › peer-review

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