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

  2. Published

    Statistical algorithms, judgment and forecasting software systems

    Fildes, R., 7/05/2021, Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning . Gilliland, M., Tashman, L. & Sglavo, U. (eds.). Wiley, p. 361-364 24 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  3. Published

    Statistical models underlying functions of 'smooth' package for R

    Svetunkov, I., 28/02/2017, Lancaster: Lancaster University Management School, p. 1-52, 52 p.

    Research output: Working paper

  4. E-pub ahead of print

    Staying Positive: Challenges and Solutions in Using Pure Multiplicative ETS Models

    Svetunkov, I. & Boylan, J. E., 15/12/2023, (E-pub ahead of print) In: IMA Journal of Management Mathematics.

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

  5. Published

    Stepwise selection of artificial neural network models for time series prediction

    Crone, S., 2005, In: Journal of Intelligent Systems. 14, 2-3, p. 99-122 24 p.

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

  6. Published

    Stochastic coherency in forecast reconciliation

    Pritularga, K., Svetunkov, I. & Kourentzes, N., 31/10/2021, In: International Journal of Production Economics. 240, 14 p., 108221.

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

  7. Published

    Stock Returns and Expected Inflation in the U.K.: Some New Evidence

    Peel, D. & Pope, P., 12/1988, In: Journal of Business Finance and Accounting. 15, 4, p. 459-467 9 p.

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

  8. Published

    Subspace Clustering of Very Sparse High-Dimensional Data

    Peng, H., Pavlidis, N. G., Eckley, I. A. & Tsalamanis, I., 24/01/2019, 2018 IEEE International Conference on Big Data (Big Data). IEEE, p. 3780-3783 4 p.

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

  9. 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/ISSN › Conference contribution/Paper › peer-review

  10. Published

    Success and survival of operational research groups - a review

    Fildes, R. A. & Ranyard, J. C., 1997, In: Journal of the Operational Research Society. 48, 4, p. 336-360 25 p.

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

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