Emmanuel Sirimal Silva

Emmanuel Sirimal Silva

  • esilva at bournemouth dot ac dot uk
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Biography

Emmanuel Sirimal Silva is a PGR student affiliated to the Business School at Bournemouth University. His primary research interest is in time series analysis and forecasting using Singular Spectrum Analysis. From September 2013 - September 2015, Emmanuel served as a P/T Lecturer in Statistics and Econometrics, and was also appointed the Leader of the BU Statistical and Mathematical Support Centre (June 2015 - September 2015).

Research

My primary research is focused on the application and development of the Singular Spectrum Analysis technique. I have published several articles directly relating to my research interests.

Journal Articles

  • Hassani, H., Silva, E.S., 2015. A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts. Econometrics, 3 (3), 590-609.
  • Hassani, H., Silva, E.S., 2015. Forecasting with Big Data: A Review. Annals of Data Science, 2 (1), 5-19.
  • Hassani, H., Silva, E.S., Gupta, R., Segnon, M.K., 2015. Forecasting the price of gold. Applied Economics, 47 (39), 4141-4152.
  • Hassani, H., Webster, A., Silva, E.S., Heravi, S., 2015. Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis. Tourism Management, 46, 322-335.
  • Silva, E.S., Hassani, H., 2015. On the use of Singular Spectrum Analysis for Forecasting U.S. Trade before, during and after the 2008 Recession. International Economics, 141, 34-49.
  • Hassani, H., Mahmoudvand, R., Omer, H.N., Silva, E.S., 2014. A Preliminary Investigation into the Effect of Outlier(s) on Singular Spectrum Analysis. Fluctuation and Noise Letters (FNL), 13 (4).
  • Ghodsi, Z., Silva, E.S., Hassani, H., 2014. Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques. Genomics, Proteomics and Bioinformatics.
  • Silva, E.S., Rajapaksa, C.R., 2014. Evaluating the effectiveness of parametric and nonparametric energy consumption forecasts for a developing country. International Journal of Energy and Statistics, 2 (2), 89-101.
  • Hassani, H., Saporta, G., Silva, E.S., 2014. Data Mining and Official Statistics: The Past, the Present and the Future. Big Data, 2 (1), 34-43.
  • Silva, E.S., 2013. A Combination Forecast for Energy-related CO2 Emissions in the United States. International Journal of Energy and Statistics, 1 (4), 269-279.
  • Silva, E.S., Wu, Y., Ojiako, U., 2013. Developing Risk Management as a Competitive Capability. Strategic Change, 22 (5-6), 281-294.

Conferences

  • Silva, E.S., 2014. Forecasting U.S. Tourist Arrivals using Singular Spectrum Analysis. In: 34th International Symposium on Forecasting 29/06/2014 Rotterdam, Netherlands.
  • Silva, E.S., Hassani, H., Andreou, D., Gozlan, R., 2014. Predicting the Risk of Freshwater Disease Emergence in UK. In: 6th Annual BU Postgraduate Conference 22/01/2014 Bournemouth, United Kingdom.
  • Silva, E.S., 2013. Forecasting the U.S. Trade Series Using Singular Spectrum Analysis. In: 33rd International Symposium on Forecasting 23/06/2013 Seoul, South Korea.

Profile of Teaching PG

  • BS: M - Performance Management and Analytics MBA (2014/15) - Unit Lecturer

Profile of Teaching UG

  • BS: C - Accounting & Quantitative Analysis (2013/14)
  • BS: C - Professional Studies and Quantitative Techniques (2014/15) - Unit Leader
  • BS: C - Basic Statistical Techniques (2014/15) - Unit Leader

Grants

  • Probabilistic Stochastic Forecasting of Brazilian Electricity Prices in Combination with Multivariate Singular Spectrum Analysis (Santander Universities, 21 Sep 2014). Completed
  • Presentation at the 34th International Symposium on Forecasting, Rotterdam, The Netherlands (International Institute of Forecasters, 29 Jun 2014). Completed
  • Presentation at the 33rd International Symposium on Forecasting, Seoul, South Korea (Bournemouth University PGR Development Scheme, 23 Jun 2013). Completed
The data on this page was last updated at 05:18 on April 6, 2026.