Rob Hyndman

Research output

Research output per year 1992 2005 2006 2008 2009 2010 2011 2017 2019 2020 2021 2022 2023

• 147 Article
• 17 Conference Paper
• 8 Letter
• 7 Book
• 20 More
  • 6 Editorial
  • 3 Textbook
  • 3 Chapter (Book)
  • 2 Abstract
  • 2 Other
  • 1 Commissioned Report
  • 1 Edited Book
  • 1 Comment / Debate
  • 1 Review Article

Research output per year

Research output per year

Search results

• 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 proceeding › Chapter (Book) › Research › peer-review
  14 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 proceeding › Chapter (Book) › Research › peer-review
  17 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 proceeding › Chapter (Book) › Research › peer-review