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Research

Dr Alex Gibberd

Lecturer in Statistics

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  1. Published

    Characterising Dependency in Computer Networks using Spectral Coherence

    Gibberd, A., Noble, J. & Cohen, E., 19/09/2018, Proceedings of the International Conference on Time Series and Forecasting. ITISE, p. 1147-1157 11 p.

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

  2. 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

  3. Published

    Estimating Dynamic Graphical Models from Multivariate Time-Series Data: Recent Methods and Results

    Gibberd, A. J. & Nelson, J. D. B., 2016, Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers. Douzal-Chouakria, A., Vilar, J. A. & Marteau, P-F. (eds.). Cham: Springer International Publishing AG, p. 111-128 18 p.

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

  4. Published

    Estimating multiresolution dependency graphs within the stationary wavelet framework

    Gibberd, A. J. & Nelson, J. D. B., 1/12/2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, p. 547-551 5 p.

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

  5. Published

    Hedging parameter selection for basis pursuit

    Chretien, S., Gibberd, A. & Roy, S., 4/05/2018, In: arXiv. 12 p.

    Research output: Contribution to Journal/Magazine › Journal article

  6. Published

    High dimensional changepoint detection with a dynamic graphical lasso

    Gibberd, A. J. & Nelson, J. D. B., 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 2684-2688 5 p.

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

  7. 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

  8. 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

  9. Published

    Introducing the locally stationary dual-tree complex wavelet model

    Nelson, J. D. B. & Gibberd, A. J., 28/09/2016, 2016 IEEE International Conference on Image Processing (ICIP). IEEE, p. 3583-3587 5 p.

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

  10. Published

    Regularised estimation of 2D-locally stationary wavelet processes

    Gibberd, A. J. & Nelson, J. D. B., 1/06/2016, 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 5 p.

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

  11. Published

    Regularized Estimation of Piecewise Constant Gaussian Graphical Models: The Group-Fused Graphical Lasso

    Gibberd, A. & Nelson, J. D. B., 19/06/2017, In: Journal of Computational and Graphical Statistics. 26, 3, p. 623-634 12 p.

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

  12. 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

  13. Published

    Sparsity in the multivariate wavelet framework: A comparative study using epileptic electroencephalography data

    Gibberd, A. J. & Nelson, J., 1/12/2015, 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). 6 p.

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

  14. 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

  15. 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

  16. 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

  17. 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

  18. Published

    The Time-Varying Dependency Patterns of NetFlow Statistics

    Gibberd, A., Evangelou, M. & Nelson, J. D. B., 1/12/2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). IEEE, p. 288-294 7 p. (2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)).

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

  19. 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

  20. 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

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