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Centre for Marketing Analytics

  1. 2021
  2. Published

    Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network

    Yolcu, U., Egrioglu, E., Bas, E., Yolcu, O. C. & Dalar, A. Z., 30/06/2021, In: Journal of Experimental and Theoretical Artificial Intelligence. 33, 3, p. 383-404 22 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Published

    Detecting outlying demand in multi-leg bookings for transportation networks

    Rennie, N., Cleophas, C., Sykulski, A. M. & Dost, F., 9/04/2021, In: arXiv.org.

    Research output: Contribution to journalJournal article

  4. Published

    Stability in the inefficient use of forecasting systems: a case study in a supply-chain company

    Fildes, R. & Goodwin, P., 1/04/2021, In: International Journal of Forecasting. 37, 2, p. 1031-1046 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  5. E-pub ahead of print

    Identifying and Responding to Outlier Demand in Revenue Management

    Rennie, N., Cleophas, C., Sykulski, A. & Dost, F., 16/09/2021, In: European Journal of Operational Research. 293, 3, p. 1015-1030 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Published

    Elucidate structure in intermittent demand series

    Kourentzes, N. & Athanasopoulos, G., 1/01/2021, In: European Journal of Operational Research. 288, 1, p. 141-152 12 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

    Retail sales forecasting with meta-learning

    Ma, S. & Fildes, R., 1/01/2021, In: European Journal of Operational Research. 288, 1, p. 111-128 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. 2020
  9. Published

    Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning

    Barrow, D., Kourentzes, N., Sandberg, R. & Niklewski, J., 1/12/2020, In: Expert Systems with Applications. 160, 14 p., 113637.

    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

    Electrical Waste - challenges and opportunities: An Independent study on Waste Electrical and Electronic Equipment (WEEE) flows in the UK

    Sayers, M., Silva, C., Schaer, O., Stowell, A., Yumashev, D., Downes, S., Grantham, L., Laundon, C. & McCoach, H., 16/07/2020

    Research output: Book/Report/ProceedingsCommissioned report

  12. 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 journalJournal articlepeer-review

  13. Published

    Optimising forecasting models for inventory planning

    Kourentzes, N., Trapero, J. R. & Barrow, D., 1/07/2020, In: International Journal of Production Economics. 225, 9 p., 107597.

    Research output: Contribution to journalJournal articlepeer-review

  14. Published

    The Price-Setting Newsvendor with Poisson Demand

    Schulte, B. & Sachs, A-L., 16/05/2020, In: European Journal of Operational Research. 283, 1, p. 125-137 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  15. Published

    Spillover effects of investment in big data analytics in B2B relationships: What is the role of human capital?

    Sena, V. & Ozdemir, S., 1/04/2020, In: Industrial Marketing Management. 86, p. 77-89 13 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

    Intuitionistic fuzzy ridge regression functions

    Kizilaslan, B., Egrioglu, E. & Evren, A. A., 1/03/2020, In: Communications in Statistics: Simulation and Computation. 49, 3, p. 699-708 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  18. 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

  19. Published

    Subspace Clustering with Active Learning

    Peng, H. & Pavlidis, N., 24/02/2020, Proceedings of 2019 IEEE International Conference on Big Data. IEEE, 10 p. 9006361

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

  20. Published

    AR–ARCH Type Artificial Neural Network for Forecasting

    Corba, B. S., Egrioglu, E. & Dalar, A. Z., 1/02/2020, In: Neural Processing Letters. 51, p. 819–836 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  21. Published

    State-space ARIMA for supply-chain forecasting

    Svetunkov, I. & Boylan, J. E., 1/02/2020, In: International Journal of Production Research. 58, 3, p. 818-827 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  22. Published

    A Simple Combination of Univariate Models

    Petropoulos, F. & Svetunkov, I., 1/01/2020, In: International Journal of Forecasting. 36, 1, p. 110-115 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  23. Published

    Modelling and managing Supply Chain forecast uncertainty in the presence of the Bullwhip Effect

    Saoud, P., 2020, Lancaster University. 152 p.

    Research output: ThesisDoctoral Thesis

  24. 2019
  25. 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

  26. 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

  27. 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

  28. Published

    PPCI: an R Package for Cluster Identification using Projection Pursuit

    Hofmeyr, D. & Pavlidis, N., 27/12/2019, In: The R Journal.

    Research output: Contribution to journalJournal articlepeer-review

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