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Centre for Marketing Analytics

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  1. Published

    Supply Chain Forecasting: Best Practices & Benchmarking Study

    Weller, M. & Crone, S. F., 1/11/2012, Lancaster: Lancaster Centre for Forecasting. 43 p.

    Research output: Book/Report/Proceedings › Other report

  2. Published

    Modelling and inference for the travel times in vehicle routing problems

    Wright, C., 2019, Lancaster University. 267 p.

    Research output: Thesis › Doctoral Thesis

  3. Published

    Minimum density hyperplanes in the feature space

    Yates, K. & Pavlidis, N. G., 11/02/2017, Big Data (Big Data), 2016 IEEE International Conference on. IEEE, p. 3613-3618 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Forthcoming

    Forecasting seasonal demand for retail: A Fourier time-varying grey model

    Ye, L., Xie, N., Boylan, J. E. & Shang, Z., 18/01/2024, (Accepted/In press) In: International Journal of Forecasting.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    An ensemble of single multiplicative neuron models for probabilistic prediction

    Yolcu, U., Jin, Y. & Egrioglu, E., 13/02/2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 8 p. 7849975. (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. 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 Journal/Magazine › Journal article › peer-review

  7. Published

    A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap

    Yolcu, U., Bas, E. & Egrioglu, E., 26/08/2018, In: Journal of Intelligent and Fuzzy Systems. 35, 2, p. 2349-2358 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    A new approach for determining the length of intervals for fuzzy time series

    Yolcu, U., Egrioglu, E., Uslu, V. R., Basaran, M. A. & Aladag, C. H., 1/03/2009, In: Applied Soft Computing Journal. 9, 2, p. 647-651 5 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Dynamic linear models with adaptive discounting

    Yusupova, A., Pavlidis, N. & Pavlidis, E., 31/10/2023, In: International Journal of Forecasting. 39, 4, p. 1925-1944 20 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    Investigating the information content of the model-free volatility expectation by Monte Carlo methods

    Zhang, Y., Taylor, S. J. & Wang, L., 11/2013, In: Journal of Futures Markets. 33, 11, p. 1071-1095 25 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  11. Published

    Generalised estimators for seasonal forecasting by combining grouping with shrinkage approaches

    Zhang, K., Chen, H., Boylan, J. & Scarf, P., 1/03/2013, In: Journal of Forecasting. 32, 2, p. 137-150 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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