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Centre for Marketing Analytics

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. Published

    British research in accounting and finance (2001–2007): The 2008 research assessment exercise

    Ashton, D., Beattie, V., Broadbent, J., Brooks, C., Draper, P., Ezzamel, M., Gwilliam, D., Hodgkinson, R., Hoskin, K., Pope, P. & Stark, A., 1/12/2009, In: British Accounting Review. 41, 4, p. 199-207 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  25. 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

  26. Published

    Using hierarchical task decompositions as a grammar to map actions in context: Application to forecasting systems in supply chain planning

    Asimakopoulos, S., Dix, A. & Fildes, R. A., 2011, In: International Journal of Human-Computer Studies. 69, 4, p. 234-250 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  27. Published

    The effects of exchange rate volatility on exports: Some new estimates

    Assery, A. & Peel, D., 10/1991, In: Economics Letters. 37, 2, p. 173-177 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  28. Published

    Estimates of a traditional aggregate import demand model for five countries

    Assery, A. & Peel, D., 04/1991, In: Economics Letters. 35, 4, p. 435-439 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  29. 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

  30. 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 journalJournal articlepeer-review

  31. Published

    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 articlepeer-review

  32. Published

    Reduction of the value of information sharing as demand becomes strongly auto-correlated

    Babai, M. Z., Boylan, J. E., Syntetos, A. A. & Ali, M. M., 11/2016, In: International Journal of Production Economics. 181 , Part A, p. 130-135 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  33. Published

    Fusion of multiple diverse predictors in stock market

    Barak, S., Arjmand, A. & Ortobelli, S., 1/07/2017, In: Information Fusion. 36, p. 90-102 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  34. 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 journalJournal articlepeer-review

  35. Published

    Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick

    Barak, S., Dahooie, J. H. & Tichý, T., 15/12/2015, In: Expert Systems with Applications. 42, 23, p. 9221-9235 15 p.

    Research output: Contribution to journalJournal articlepeer-review

  36. Published

    A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation

    Barak, S. & Dahooei, J. H., 10/2018, In: Journal of Air Transport Management. 73, p. 134-149 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  37. Published

    Fuzzy turnover rate chance constraints portfolio model

    Barak, S., 1/07/2013, In: European Journal of Operational Research. 228, 1, p. 141-147

    Research output: Contribution to journalJournal articlepeer-review

  38. Published

    Developing an approach to evaluate stocks by forecasting effective features with data mining methods

    Barak, S. & Modarres, M., 15/02/2015, In: Expert Systems with Applications. 42, 3, p. 1325-1339 15 p.

    Research output: Contribution to journalJournal articlepeer-review

  39. Published

    A genetic algorithm based grey goal programming (G 3) approach for parts supplier evaluation and selection

    Barak, S., 2012, In: International Journal of Production Research. 50, 16, p. 4612-4630

    Research output: Contribution to journalJournal articlepeer-review

  40. Published

    Energy and GHG emissions management of agricultural systems using multi objective particle swarm optimization algorithm: a case study

    Barak, S., Yousefi, M., Maghsoudlou, H. & Jahangiri, S., 04/2016, In: Stochastic Environmental Research and Risk Assessment. 30, 4, p. 1167–1187 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  41. Published

    Evaluation and selection of clustering methods using a hybrid group MCDM

    Barak, S. & Mokfi, T., 30/12/2019, In: Expert Systems with Applications. 138, 19 p., 112817.

    Research output: Contribution to journalJournal articlepeer-review

  42. Published

    A Context-Driven Data Weighting Approach for Handling Concept Drift in Classification

    Barakat, L., 25/05/2015, Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Wroclaw: Springer, p. 383-393 11 p.

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

  43. Published

    A context-aware approach for handling concept drift in classification

    Barakat, L., 2018, Lancaster University. 214 p.

    Research output: ThesisDoctoral Thesis

  44. Published

    An Evaluation of Neural Network Ensembles and Model Selection for Time Series Prediction

    Barrow, D. K., Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 1-8 8 p.

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

  45. Published

    Dynamic Model Selection and Combination in Forecasting: an Empirical Evaluation of Bagging and Boosting

    Barrow, D. & Crone, S., 2011.

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

  46. Published

    How to boost for time series? An empirical evaluation of forecasting accuracy for meta-parameter choices in boosting

    Barrow, D. & Crone, S., 2012.

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

  47. Published

    Distributions of forecasting errors of forecast combinations: implications for inventory management

    Barrow, D. K. & Kourentzes, N., 07/2016, In: International Journal of Production Economics. 177, p. 24-33 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  48. Published

    A comparison of AdaBoost algorithms for time series forecast combination

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In: International Journal of Forecasting. 32, 4, p. 1103-1119 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  49. 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

  50. Published

    The impact of special days in call arrivals forecasting: a neural network approach to modelling special days

    Barrow, D. K. & Kourentzes, N., 1/02/2018, In: European Journal of Operational Research. 264, 3, p. 967-977 11 p.

    Research output: Contribution to journalJournal articlepeer-review

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