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Centre for Marketing Analytics

  1. Published

    Derived Demand and Oligopoly

    Latham, R. & Peel, D., 05/1977, In: Bulletin of Economic Research. 29, 1, p. 3-8 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. Published

    Demand uncertainty and lot sizing in manufacturing systems: the effects of forecasting errors and mis-specification

    Kingsman, B. G. & Fildes, R. A., 2005, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  3. Unpublished

    Demand forecasting with user-generated online information

    Schaer, O., Kourentzes, N. & Fildes, R. A., 26/02/2018, (Unpublished) Lancaster: Lancaster University Management School, p. 1-41, 41 p.

    Research output: Working paper

  4. Published

    Demand forecasting with user-generated online information

    Schaer, O., Kourentzes, N. & Fildes, R. A., 01/2019, In: International Journal of Forecasting. 35, 1, p. 197-212 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  5. Published

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

    Ma, S., Fildes, R. A. & Huang, T., 16/02/2016, In: European Journal of Operational Research. 249, 1, p. 245-257 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Published

    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

  7. Published

    Demand Forecasting for Managers, Kolassa Stephan, Siemsen Enno. Business Expert Press, LLC, New York (2016), ISBN: 978-1-60649-502-5

    Kourentzes, N., 01/2018, In: International Journal of Forecasting. 34, 1, p. 117-118 2 p.

    Research output: Contribution to journalBook/Film/Article review

  8. Published

    Demand forecasting by temporal aggregation: using optimal or multiple aggregation levels?

    Kourentzes, N., Rostami-Tabar, B. & Barrow, D., 09/2017, In: Journal of Business Research. 78, p. 1-9 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

    Demand forecasting adjustments for service-level achievement

    Syntetos, A. A. & Boylan, J., 2008, In: IMA Journal of Management Mathematics. 19, 2, p. 175-192 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  10. Published

    Decision trees for forecasting trended demand: estimation and statistical properties

    Syntetos, A. A. & Boylan, J., 24/03/2011, Service parts management. Altay, N. & Litteral, L. A. (eds.). London: Springer London, p. 53-87 14 p. Chapter 3

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

  11. Published

    Death of an OR group: a case study

    Crymble, W. R., Fildes, R. A. & Ranyard, J. C., 1997, In: Journal of the Operational Research Society. 48, 4, p. 361-372 12 p.

    Research output: Contribution to journalJournal articlepeer-review

  12. Published

    Data mining and information systems - Quo Vadis?

    Stahlbock, R., Lessmann, S. & Crone, S., 2009, In: Annals of Information Systems. 8, XIII, p. 1-18 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  13. Published

    Daily demand forecasting in the utility industries

    Randall, A., Stubbs, P. & Fildes, R. A., 1997, In: Journal of the Operational Research Society. 48, p. 15-24 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  14. Published

    Cross-validation aggregation for combining autoregressive neural network forecasts

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In: International Journal of Forecasting. 32, 4, p. 1120-1137 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  15. Published

    Cross-temporal coherent forecasts for Australian tourism

    Kourentzes, N. & Athanasopoulos, G., 31/03/2019, In: Annals of Tourism Research. 75, p. 393-409 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  16. Published

    Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption

    Spiliotis, E., Petropoulos, F., Kourentzes, N. & Assimakopoulos, V., 1/03/2020, In: Applied Energy. 261, 12 p., 114339.

    Research output: Contribution to journalJournal articlepeer-review

  17. Published

    Critical bounds for MA(2) and MA(3) processes

    Lane, J., Ceuppins, P. & Peel, D., 1988, In: Economics Letters. 27, 2, p. 133-140 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  18. Published

    Corporate Accounting Data, Capital Market Information and Wage Increases of the Firm

    Peel, D. & Pope, P., 06/1984, In: Journal of Business Finance and Accounting. 11, 2, p. 177-188 12 p.

    Research output: Contribution to journalJournal articlepeer-review

  19. Published

    Consumer decision making, e-commerce and perceived risks

    Soopramanien, D. G. R., Fildes, R. A. & Robertson, A., 2007, In: Applied Economics. 39, p. 2159-2166 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  20. Published

    Consumer attitude metrics for guiding marketing mix decisions

    Hanssens, D. M., Pauwels, K. H., Srinivasan, S., Vanhuele, M. & Yildirim, G., 2014, In: Marketing Science. 33, 4, p. 534-550 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  21. E-pub ahead of print

    Consistent multiple changepoint estimation with fused Gaussian graphical models

    Gibberd, A. & Roy, S., 17/03/2020, (E-pub ahead of print) In: Annals of the Institute of Statistical Mathematics. 27 p.

    Research output: Contribution to journalJournal articlepeer-review

  22. Published

    Computing Nash equilibria through computational intelligence methods

    Pavlidis, N., Parsopoulos, K. E. & Vrahatis, M. N., 03/2005, In: Journal of Computational and Applied Mathematics. 175, 1, p. 113-136 24 p.

    Research output: Contribution to journalJournal articlepeer-review

  23. Published

    Computational intelligence methods for financial time series modeling

    Pavlidis, N., Tasoulis, D. K., Plagianakos, V. P. & Vrahatis, M. N., 07/2006, In: International Journal of Bifurcation and Chaos. 16, 7, p. 2053–2062 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  24. Published

    Computational intelligence algorithms for risk-adjusted trading strategies.

    Pavlidis, N., Pavlidis, E., Epitropakis, M., Plagianakos, V. & Vrahatis, M., 01/2008, IEEE Congress on Evolutionary Computation CEC 2007. Singapore: IEEE, p. 540-547 8 p.

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

  25. Published

    Complexity in airline revenue management

    Bartke, P., Cleophas, C. & Zimmermann, B., 01/2013, In: Journal of Revenue and Pricing Management. 12, 1, p. 36-45 10 p.

    Research output: Contribution to journalJournal articlepeer-review

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