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  1. Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?

    Petropoulos, F., Fildes, R. A. & Goodwin, P. 16/03/2016 In : European Journal of Operational Research. 249, 3, p. 842-852 11 p.

    Research output: Contribution to journalJournal article

  2. Short-term solar irradiation forecasting based on dynamic harmonic regression

    Trapero, J. R., Kourentzes, N. & Martin, A. 1/05/2015 In : Energy. 84, p. 289-295 7 p.

    Research output: Contribution to journalJournal article

  3. Forecasting with multivariate temporal aggregation: the case of promotional modelling

    Kourentzes, N. & Petropoulos, F. 2015 In : International Journal of Production Economics.

    Research output: Contribution to journalJournal article

  4. Predictions of elections

    Rand, G. 2015 In : Impact. Spring, p. 26-27 2 p.

    Research output: Contribution to journalJournal article

  5. Weak signals as predictors of real-world phenomena in social media

    Charitonidis, C., Rashid, A. & Taylor, P. J. 2015 ASONAM '15 Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015. New York: ACM, p. 864-871 8 p. (ASONAM '15)

    Research output: Contribution in Book/Report/ProceedingsPaper

  6. The value of competitive information in forecasting FMCG retail product sales and the variable selection problem

    Huang, T., Fildes, R. & Soopramanien, D. 1/09/2014 In : European Journal of Operational Research. 237, 2, p. 738-748 11 p.

    Research output: Contribution to journalJournal article

  7. Neural network ensemble operators for time series forecasting

    Kourentzes, N., Barrow, D. & Crone, S. 07/2014 In : Expert Systems with Applications. 41, 9, p. 4235-4244 10 p.

    Research output: Contribution to journalJournal article

  8. Water leakage forecasting: the application of a modified fuzzy evolving algorithm

    Birek, L., Petrovic, D. & Boylan, J. 1/01/2014 In : Applied Soft Computing. 14, Part B, p. 305-315 11 p.

    Research output: Contribution to journalJournal article

  9. Demand forecasting with high dimensional data: the case of SKU retail sales forecasting with intra- and inter-category promotional information

    Ma, S., Fildes, R. & Huang, T. 2014 Lancaster: Department of Management Science, Lancaster University, 34 p.(Department of Management Science Working Papers; vol. 2014, no. 9)

    Research output: Working paper

  10. Forecasting and inventory performance in a two-stage supply chain with ARIMA(0,1,1) demand: theory and empirical analysis

    Babai, M. Z., Ali, M. M., Boylan, J. & Syntetos, A. A. 1/06/2013 In : International Journal of Production Economics. 143, 2, p. 463-471 9 p.

    Research output: Contribution to journalJournal article

  11. Intermittent demand forecasts with neural networks

    Kourentzes, N. 05/2013 In : International Journal of Production Economics. 143, 1, p. 198-206 9 p.

    Research output: Contribution to journalJournal article

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