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Centre for Marketing Analytics

  1. Published

    Intuitionistic time series fuzzy inference system

    Egrioglu, E., Bas, E., Yolcu, O. C. & Yolcu, U., 30/06/2019, In: Engineering Applications of Artificial Intelligence. 82, p. 175-183 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. Published

    Median-Pi artificial neural network for forecasting

    Egrioglu, E., Yolcu, U., Bas, E. & Dalar, A. Z., 18/01/2019, In: Neural Computing and Applications. 31, 1, p. 307-316 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Published

    Picture fuzzy time series: Defining, modeling and creating a new forecasting method

    Egrioglu, E., Bas, E., Yolcu, U. & Chen, M. Y., 28/02/2020, In: Engineering Applications of Artificial Intelligence. 88, 13 p., 103367.

    Research output: Contribution to journalJournal articlepeer-review

  4. Published

    Finding an optimal interval length in high order fuzzy time series

    Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R. & Basaran, M. A., 1/07/2010, In: Expert Systems with Applications. 37, 7, p. 5052-5055 4 p.

    Research output: Contribution to journalJournal articlepeer-review

  5. Published

    A new approach based on artificial neural networks for high order bivariate fuzzy time series

    Egrioglu, E., Uslu, V. R., Yolcu, U., Basaran, M. A. & Hakan, A. C., 1/01/2009, Applications of Soft Computing: From Theory to Praxis. Springer-Verlag, p. 265-273 9 p. (Advances in Intelligent and Soft Computing; vol. 58).

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

  6. Published

    A new approach based on artificial neural networks for high order multivariate fuzzy time series

    Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R. & Basaran, M. A., 1/09/2009, In: Expert Systems with Applications. 36, 7, p. 10589-10594 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

    A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model

    Egrioglu, E., Aladag, C. H., Yolcu, U., Basaran, M. A. & Uslu, V. R., 1/05/2009, In: Expert Systems with Applications. 36, 4, p. 7424-7434 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    A new model selection strategy in artificial neural networks

    Eǧrioǧlu, E., Aladaǧ, Ç. H. & Günay, S., 1/02/2008, In: Applied Mathematics and Computation. 195, 2, p. 591-597 7 p.

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

    Bayesian model selection in ARFIMA models

    Eǧrïoǧlu, E. & Günay, S., 1/01/2010, In: Expert Systems with Applications. 37, 12, p. 8359-8364 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  10. E-pub ahead of print

    A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting

    Eğrioğlu, E. & Fildes, R., 20/11/2020, In: Computational Economics. 29 p.

    Research output: Contribution to journalJournal articlepeer-review

  11. Published

    Enhancing differential evolution utilizing proximity-based mutation operators

    Epitropakis, M., Tasoulis, D. K., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 2011, In: IEEE Transactions on Evolutionary Computation. 15, 1, p. 99-119 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  12. Published

    Tracking differential evolution algorithms: an adaptive approach through multinomial distribution tracking with exponential forgetting

    Epitropakis, M., Tasoulis, D., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 2012, Artificial Intelligence: Theories and Applications: 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings. Maglogianis, I., Plagianakos, V. & Vlahavas, I. (eds.). Berlin: Springer Verlag, p. 214-222 9 p. (Lecture Notes in Computer Science; vol. 7297).

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

  13. Published

    Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting

    Epitropakis, M., Tasoulis, D. K., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 10/06/2012, 2012 IEEE Congress on Evolutionary Computation (CEC2012) . IEEE, 8 p.

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

  14. Published

    How consumer mindset response and long-term marketing effectiveness differ in emerging versus mature markets

    Erguncu, S. & Yildirim, G., 06/2014, Brand management in emerging markets: theories and practices. Wang, C. L. & He, J. (eds.). Hershey, Pa.: IGI Global

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

  15. Published

    Valuing customer portfolios with endogenous mass-and-direct-marketing interventions using a Stochastic Dynamic Programming Decomposition

    Esteban-Bravo, M., Vidal-Sanz, J. M. & Yildirim, G., 2014, In: Marketing Science. 33, 5, p. 621-640 20 p.

    Research output: Contribution to journalJournal articlepeer-review

  16. Published

    Historical impact of technological change on the US mass media advertising expenditure

    Esteban-Bravo, M., Vidal-Sanz, J. M. & Yildirim, G., 11/2015, In: Technological Forecasting and Social Change. 100, p. 306-316 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  17. Published

    The accuracy of a procedural approach to specifying feedforward neural networks for forecasting

    Fildes, R. A. & Liao, K. P., 2003, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  18. Published

    Levels, differences and ECMs - principles for improved econometric forecasting

    Fildes, R. A. & Allen, P. G., 2004, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  19. Published

    Econometric forecasting: strategies and techniques

    Fildes, R. A. & Allen, P. G., 2001, Principles of Forecasting: A Handbook for Researchers and Practitioners. Berlin: Springer, p. 303-362 60 p.

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

  20. 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

  21. Published

    Judgemental forecasts of times series affected by special events: does providing a statistical forecast improve accuracy?

    Fildes, R. A. & Goodwin, P., 1999, In: Journal of Behavioral Decision Making. 12, p. 37-53 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  22. Published

    The foundations, development and current practice of OR

    Fildes, R. A. & Ranyard, J. C., 1998, In: Journal of the Operational Research Society. 49, p. 304-443 140 p.

    Research output: Contribution to journalJournal articlepeer-review

  23. Published

    The role of prices in models of innovation diffusion

    Fildes, R. A. & Bottomley, P., 1998, In: Journal of Forecasting. 17, 7, p. 539-555 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  24. Published

    Winners and losers: adding organisational value

    Fildes, R. A. & Ranyard, J. C., 1998, In: Journal of the Operational Research Society. 49, p. 355-368 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  25. Published

    Summary of final discussion

    Fildes, R. A. & Ranyard, J. C., 1998, In: Journal of the Operational Research Society. 49, p. 434-443 10 p.

    Research output: Contribution to journalJournal articlepeer-review

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