Results for Forecasting

Publications & Outputs

1. Interlinked Computing in 2040: Safety, Truth, Ownership and Accountability

   Weir, C., Dyson, A., Jogunola, O., Dennis, L. & Paxton-Fear, K., 21/09/2023, (Accepted/In press) In: Computer. 9 p.

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

2. Shrinkage Estimator for Exponential Smoothing Models

   Pritularga, K., Svetunkov, I. & Kourentzes, N., 31/07/2023, In: International Journal of Forecasting. 39, 3, p. 1351-1365 15 p.

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

3. Linex and double-linex regression for parameter estimation and forecasting

   Tsionas, M. G., 30/04/2023, In: Annals of Operations Research. 323, 1-2, p. 229-245 17 p.

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

4. Electron beam weld penetration depth prediction improved by beam characterisation

   Yin, Y., Kennedy, A., Mitchell, T., Sieczkiewicz, N., Jefimovs, V. & Tian, Y., 31/03/2023, In: International Journal of Advanced Manufacturing Technology. 125, 1-2, p. 399-415 17 p.

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

5. Analysing and visualising bike-sharing demand with outliers

   Rennie, N., Cleophas, C., Sykulski, A. M. & Dost, F., 6/03/2023, In: Discover Data. 1, 1, 26 p., 1.

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

6. A New Taxonomy for Vector Exponential Smoothing and Its Application to Seasonal Time Series

   Svetunkov, I., Chen, H. & Boylan, J. E., 1/02/2023, In: European Journal of Operational Research. 304, 3, p. 964-980 17 p.

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

7. Complex exponential smoothing

   Svetunkov, I., Kourentzes, N. & Ord, J. K., 31/12/2022, In: Naval Research Logistics. 69, 8, p. 1108-1123 16 p.

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

8. Approximations for the Lead Time Variance: a Forecasting and Inventory Evaluation

   Saoud, P., Kourentzes, N. & Boylan, J. E., 31/07/2022, In: Omega. 110, 12 p., 102614.

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

9. A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting

   Eğrioğlu, E. & Fildes, R., 30/04/2022, In: Computational Economics. 59, 4, p. 1355-1383 29 p.

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

10. Scenarios, strategic conversations, and forecasting: A commentary on Rowland and Spaniol (2021)

    Fildes, R., 31/03/2022, In: Futures and Foresight Science. 4, 1, e112.

    Research output: Contribution to Journal/Magazine › Journal article

11. A hybrid kinetic and constraint-based model of leaf metabolism allows predictions of metabolic fluxes in different environments

    Shameer, S., Wang, Y., Bota, P., Ratcliffe, R. G., Long, S. P. & Sweetlove, L. J., 31/01/2022, In: The Plant Journal. 109, 1, p. 295-313 19 p.

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

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