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Centre for Marketing Analytics

  1. Published

    Forecasting competitions - their role in improving forecasting practice and research

    Fildes, R. A. & Ord, J. K., 2002, A Companion to Economic Forecasting. Oxford: Blackwell, p. 322-353 32 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  2. Published

    Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm

    Barak, S. & Sadegh, S. S., 1/11/2017, In: International Journal of Electrical Power and Energy Systems. 82, p. 92-104 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Forecasting for intermittent demand: the estimation of an unbiased average

    Shale, E. A., Boylan, J. & Johnston, F. R., 1/05/2006, In: Journal of the Operational Research Society. 57, 5, p. 588-592 5 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    Forecasting for inventory management of service parts

    Boylan, J. & Syntetos, A. A., 2008, Complex system maintenance handbook. Kobbacy, K. A. H. & Murthy, D. N. P. (eds.). Springer, p. 479-508 30 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  5. Published

    Forecasting for inventory planning: a 50-year review

    Syntetos, A. A., Boylan, J. & Disney, S. M., 2009, In: Journal of the Operational Research Society. 60, p. S149--S160 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Forecasting high-frequency time series with neural networks - an analysis of modelling challenges from increasing data frequency

    Crone, S. & Kourentzes, N., 2008, International Conference on Data Mining (Las Vegas) - 2008. Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. Published

    Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

    Aladag, C. H., Basaran, M. A., Egrioglu, E., Yolcu, U. & Uslu, V. R., 1/01/2009, In: Expert Systems with Applications. 36, 3 PART 1, p. 4228-4231 4 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Forecasting in inventory management using artificial neural networks - a novel approach through asymmetric cost functions

    Crone, S., 2003, Einsatz von Fuzzy Sets, Neuronalen Netzen und Kunstlicher Intelligenz in industrieller Produktion und Umweltforschung. Dusseldorf: VDI

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  9. Published

    Forecasting industrial production using non-linear methods

    Byers, D. & Peel, D., 07/1995, In: Journal of Forecasting. 14, 4, p. 325-336 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Forecasting internet telephony

    Raina, J., Day, K. & Fildes, R. A., 1998, In: OR Insight. 11, 4

    Research output: Contribution to Journal/MagazineJournal article

  11. Published

    Forecasting Livestock Slaughter: An Empirical Assessment of M.L.C. Forecasts

    Byers, D. & Peel, D., 05/1987, In: Journal of Agricultural Economics. 38, 2, p. 235-241 7 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Published

    Forecasting nonlinear time series with a hybrid methodology

    Aladag, C. H., Egrioglu, E. & Kadilar, C., 1/09/2009, In: Applied Mathematics Letters. 22, 9, p. 1467-1470 4 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Published

    Forecasting retailer product sales in the presence of structural change

    Huang, T., Fildes, R. & Soopramanien, D., 1/12/2019, In: European Journal of Operational Research. 279, 2, p. 459-470 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. Published

    Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high frequency index returns

    Blair, B. J., Poon, S. & Taylor, S. J., 2010, Handbook of Quantitative Finance and Risk Management. Lee, C-F., Lee, A. C. & Lee, J. (eds.). Berlin: Springer, p. 1333-1344 12 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  15. Forthcoming

    Forecasting seasonal demand for retail: A Fourier time-varying grey model

    Ye, L., Xie, N., Boylan, J. E. & Shang, Z., 18/01/2024, (Accepted/In press) In: International Journal of Forecasting.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Published

    Forecasting seasonal time series with multilayer perceptrons - an empirical evaluation of input vector specifications for deterministic seasonality

    Crone, S. & Kourentzes, N., 2009, Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. . Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press, p. 232-238 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  17. Published

    Forecasting seasonal time series with neural networks: a sensitivity analysis of architecture parameters

    Crone, S. & Dahwan, R., 2007, Proceedings of the International Joint Conference on Neural Networks, IJCNN'07 (Orlando, USA) - 2007. N/A: IEEE Computer Society Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  18. Published

    Forecasting software visualizations: an explorative study

    Asimakopoulos, S., Fildes, R. A. & Dix, A., 2009, 23rd British HCI Conference (Cambridge) - 2009. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  19. Published

    Forecasting third-party mobile payments with implications for customer flow prediction

    Ma, S. & Fildes, R., 1/07/2020, In: International Journal of Forecasting. 36, 3, p. 739-760 22 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  20. Published

    Forecasting with computational intelligence - An evaluation of support vector regression and artificial neural networks

    Crone, S., Lessmann, S. & Pietsch, S., 2006, Proceedings of the World Congress in Computational Intelligence, WCCT06 (Vancouver, Canada) - 2006, IEEE: New York. N/A: IEEE Computer Society Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  21. Published

    Forecasting with multivariate temporal aggregation: the case of promotional modelling

    Kourentzes, N. & Petropoulos, F., 11/2016, In: International Journal of Production Economics. 181, Part A, p. 145-153 9 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. Published

    Forecasting with temporal hierarchies

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 1/10/2017, In: European Journal of Operational Research. 262, 1, p. 60-74 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  23. Unpublished

    Forecasting with Temporal Hierarchies

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 2015, (Unpublished) Lancaster: Department of Management Science, Lancaster University, 26 p.

    Research output: Working paper

  24. Published

    Forewarned: A Sceptic’s Guide to Prediction

    Schaer, O. & Spavound, S., 2018, In: Foresight: The International Journal of Applied Forecasting. 48, p. 17-18 2 p.

    Research output: Contribution to Journal/MagazineBook/Film/Article review

  25. Published

    Formation of seasonal groups and application of seasonal indices

    Boylan, J., Chen, H., Mohammadipour, M. & Syntetos, A., 1/02/2014, In: Journal of the Operational Research Society. 65, 2, p. 227-241 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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