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Patrick Eugene McSharry

Personal Details

First Name:Patrick
Middle Name:Eugene
Last Name:McSharry
Suffix:
RePEc Short-ID:pmc56
http://www.mcsharry.net

Affiliation

(in no particular order)

University of Oxford, Department of Engineering Science

http://www.eng.ox.ac.uk/
UK, Oxford

University of Oxford, Mathematical Institute

http://www.maths.ox.ac.uk
Oxford, UK

Research output

as
Jump to: Articles

Articles

  1. Njuguna, Christopher & McSharry, Patrick, 2017. "Constructing spatiotemporal poverty indices from big data," Journal of Business Research, Elsevier, vol. 70(C), pages 318-327.
  2. Georgios Anastasiades & Patrick McSharry, 2013. "Quantile Forecasting of Wind Power Using Variability Indices," Energies, MDPI, vol. 6(2), pages 1-34, February.
  3. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.
  4. Patrick McSharry, 2012. "Stream Analytics for Forecasting," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 24, pages 7-12, Winter.
  5. McSharry, Patrick E., 2011. "Validation and forecasting accuracy in models of climate change: Comments," International Journal of Forecasting, Elsevier, vol. 27(4), pages 996-999, October.
  6. David Orrell & Patrick McSharry, 2009. "Reply to Commentaries," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 14, pages 1-39, Summer.
  7. David Orrell & Patrick McSharry, 2009. "A Systems Approach to Forecasting," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 14, pages 25-30, Summer.
  8. Orrell, David & McSharry, Patrick, 2009. "System economics: Overcoming the pitfalls of forecasting models via a multidisciplinary approach," International Journal of Forecasting, Elsevier, vol. 25(4), pages 734-743, October.
  9. Taylor, James W. & de Menezes, Lilian M. & McSharry, Patrick E., 2006. "A comparison of univariate methods for forecasting electricity demand up to a day ahead," International Journal of Forecasting, Elsevier, vol. 22(1), pages 1-16.

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