• Forthcoming

  Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix

  Chan, T.-S. T. & Gibberd, A., 17/08/2024, (Accepted/In press) In: Computational Statistics and Data Analysis. 108042.

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

• 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

• 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

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