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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. 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

  6. 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

  7. Published

    Detecting demand outliers in transport systems

    Rennie, N., 2021, Lancaster University. 272 p.

    Research output: ThesisDoctoral Thesis

  8. 2020
  9. Published

    Metric learning for simulation analytics

    Laidler, G., Morgan, L., Nelson, B. & Pavlidis, N., 18/12/2020, Proceedings of the 2020 Winter Simulation Conference. IEEE, p. 349-360 12 p.

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

  10. 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

  11. 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

  12. Published

    Survey: What’s new in forecasting software?

    Fildes, R., Schaer, O., Svetunkov, I. & Yusupova, A., 4/08/2020, In: Operations Research Management Science Today. 47, 4

    Research output: Contribution to journalJournal article

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