1992 …2021

Research activity per year

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  • 2020

    Hierarchical Forecasting

    Athanasopoulos, G., Gamakumara, P., Panagiotelis, A., Hyndman, R. J. & Affan, M., 2020, Macroeconomic Forecasting in the Era of Big Data: Theory and Practice. Fuleky, P. (ed.). 1st ed. Cham Switzerland: Springer, p. 689-719 31 p. (Advanced Studies in Theoretical and Applied Econometrics; vol. 52).

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

    5 Citations (Scopus)
  • 2016

    On sampling methods for costly multi-objective black-box optimization

    Steponavice, I., Shirazi Manesh, M., Hyndman, R., Smith-Miles, K. & Villanova, L., 5 Nov 2016, Advances in Stochastic and Deterministic Global Optimization. Pardalos, P. M., Zhigljavsky, A. & Žilinskas, J. (eds.). Switzerland: Springer, Vol. 107. p. 273-296 24 p. (Springer Optimization and Its Applications; vol. 107, no. Part III).

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

    12 Citations (Scopus)
  • 2008

    Bagplots, boxplots and outlier detection for functional data

    Hyndman, R. J. & Shang, H. L., 2008, Functional and Operatorial Statistics. Dabo-Niang, S. & Ferraty, F. (eds.). Heidelberg Germany: Physica Verlag, p. 201 - 207 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review