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Centre for Marketing Analytics

  1. Published

    Some implications of a quartic loss function

    Aretz, K. & Peel, D., 20/08/2007, In: Economics Bulletin. 7, 13, p. 1-7 7 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. Published

    An example of an optimal forecast exhibiting decreasing bias with increasing forecast horizon

    Aretz, K. & Peel, D., 10/2013, In: Bulletin of Economic Research. 65, 4, p. 362-371 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Published

    Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification

    Anagnostopoulos, C., Tasoulis, D. K., Adams, N. M., Pavlidis, N. & Hand, D. J., 04/2012, In: Statistical Analysis and Data Mining. 5, 2, p. 139-166

    Research output: Contribution to journalJournal articlepeer-review

  4. Published

    Forecasting and prediction

    Amstrong, J. S. & Fildes, R. A., 2004, The Social Science Encyclopedia. London and New York: Routledge

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

  5. Published

    A Fuzzy Data-Driven Paradigmatic Predictor

    Amirjavid, F., Nemati, H. & Barak, S., 31/12/2019, In: IFAC-PapersOnLine. 52, 13, p. 2366-2371 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Published

    A Fuzzy Paradigmatic Clustering Algorithm

    Amirjavid, F., Barak, S. & Nemati, H., 31/12/2019, In: IFAC-PapersOnLine. 52, 13, p. 2360-2365 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

    Levels, difference and ECMs: principles for improved econometric forecasting

    Allen, P. G. & Fildes, R. A., 2005, In: Oxford Bulletin of Economics and Statistics. 67, p. 881-904 24 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    Forecast errors and inventory performance under forecast information sharing

    Ali, M. M., Boylan, J. & Syntetos, A. A., 1/10/2012, In: International Journal of Forecasting. 28, 4, p. 830-841

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

    On the effect of non-optimal forecasting methods on supply chain downstream demand

    Ali, M. M. & Boylan, J., 1/01/2012, In: IMA Journal of Management Mathematics. 23, 1, p. 81-98 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  10. Published

    Feasibility principles for Downstream Demand Inference in supply chains

    Ali, M. M. & Boylan, J., 1/03/2011, In: Journal of the Operational Research Society. 62, 3, p. 474-482 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  11. Published

    The value of forecast information sharing in the supply chain

    Ali, M. M. & Boylan, J., 2010, In: Foresight: The International Journal of Applied Forecasting. 18, p. 14-18 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  12. Published

    On the value of sharing demand information in supply chains (OR56 Annual Conference – Keynote Papers)

    Ali, M. M. & Boylan, J., 2014, p. 44-56. 13 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

  13. Published

    Supply chain forecasting when information is not shared

    Ali, M. M., Babai, M. Z., Boylan, J. E. & Syntetos, A. A., 1/08/2017, In: European Journal of Operational Research. 260, 3, p. 984-994 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  14. Published

    Forecast combination by using artificial neural networks

    Aladag, C. H., Egrioglu, E. & Yolcu, U., 1/12/2010, In: Neural Processing Letters. 32, 3, p. 269-276 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  15. Published

    A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks

    Aladag, C. H., Yolcu, U. & Egrioglu, E., 1/12/2010, In: Mathematics and Computers in Simulation. 81, 4, p. 875-882 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  16. Published

    Modeling brain wave data by using artificial neural networks

    Aladag, C. H., Egrioglu, E. & Kadilar, C., 23/04/2010, In: Hacettepe Journal of Mathematics and Statistics. 39, 1, p. 81-88 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  17. Published

    Improving weighted information criterion by using optimization

    Aladag, C. H., Egrioglu, E., Gunay, S. & Basaran, M. A., 15/03/2010, In: Journal of Computational and Applied Mathematics. 233, 10, p. 2683-2687 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  18. 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 journalJournal articlepeer-review

  19. 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 journalJournal articlepeer-review

  20. Published

    A new architecture selection strategy in solving seasonal autoregressive time series by artificial neural networks

    Aladag, C. H., Egrioglu, E. & Gunay, S., 1/12/2008, In: Hacettepe Journal of Mathematics and Statistics. 37, 2, p. 185-200 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  21. Published

    FQSPM-SWOT for strategic alliance planning and partner selection: case study in a holding car manufacturer company

    Akhavan, P., Barak, S., Maghsoudlou, H. & Antucheviciene, J., 4/03/2015, In: Technological and Economic Development of Economy. 21, 2, p. 165-185 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  22. Published

    Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences

    Adamopoulos, A. V., Pavlidis, N. & Vrahatis, M. N., 2010, In: Mathematical and Computer Modelling. 51, 3-4, p. 229-238 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  23. 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

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