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Professor Nikos Kourentzes

Professor

  1. Published

    Advances in forecasting with artificial neural networks

    Kourentzes, N. & Crone, S., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  2. Published

    An Evaluation of Neural Network Ensembles and Model Selection for Time Series Prediction

    Barrow, D. K., Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 1-8 8 p.

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

  3. Published

    Analysis of judgmental adjustments in the presence of promotions

    Trapero Arenas, J., Pedregal, D. J., Fildes, R. & Kourentzes, N., 04/2013, In: International Journal of Forecasting. 29, 2, p. 234-243 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    Another look at estimators for intermittent demand

    Petropoulos, F., Kourentzes, N. & Nikolopoulos, K., 11/2016, In: International Journal of Production Economics. 181 , Part A, p. 154-161 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Another look at forecast selection and combination: evidence from forecast pooling

    Kourentzes, N., Barrow, D. K. & Petropoulos, F., 1/03/2019, In: International Journal of Production Economics. 209, p. 226-235 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Automatic modelling of neural networks for time series prediction - in search of a uniform methodology across varying time frequencies

    Kourentzes, N. & Crone, S., 2008, 2nd European Symposium on Time Series Prediction (Helsinki) - 2008. N/A: unknown

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

  7. 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 Journal/MagazineJournal articlepeer-review

  8. Published

    Commentary: two sides of the same coin

    Petropoulos, F. & Kourentzes, N., 1/06/2016, In: Foresight: The International Journal of Applied Forecasting. 42, p. 37-39 3 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    Complex exponential smoothing

    Svetunkov, I. & Kourentzes, N., 2/01/2016, Lancaster: Lancaster University Management School, p. 1-31, 31 p.

    Research output: Working paper

  10. Published

    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/MagazineJournal articlepeer-review

  11. Published

    Complex Exponential Smoothing for Seasonal Time Series

    Svetunkov, I. & Kourentzes, N., 01/2018, Lancaster: Department of Management Science, Lancaster University, p. 1-20, 20 p.

    Research output: Working paper

  12. 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 Journal/MagazineJournal articlepeer-review

  13. Published

    Cross-temporal coherent forecasts for Australian tourism

    Kourentzes, N. & Athanasopoulos, G., 31/03/2019, In: Annals of Tourism Research. 75, p. 393-409 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. Published

    Data driven fitting sample selection for time series forecasting with neural networks

    Kourentzes, N., 2012, The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE, 8 p.

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

  15. Published

    Demand forecasting by temporal aggregation: using optimal or multiple aggregation levels?

    Kourentzes, N., Rostami-Tabar, B. & Barrow, D., 09/2017, In: Journal of Business Research. 78, p. 1-9 9 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Unpublished

    Demand forecasting with user-generated online information

    Schaer, O., Kourentzes, N. & Fildes, R. A., 26/02/2018, (Unpublished) Lancaster: Lancaster University Management School, p. 1-41, 41 p.

    Research output: Working paper

  17. Published

    Demand forecasting with user-generated online information

    Schaer, O., Kourentzes, N. & Fildes, R. A., 01/2019, In: International Journal of Forecasting. 35, 1, p. 197-212 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. Published

    Distributions of forecasting errors of forecast combinations: implications for inventory management

    Barrow, D. K. & Kourentzes, N., 07/2016, In: International Journal of Production Economics. 177, p. 24-33 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. 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 Journal/MagazineJournal articlepeer-review

  20. Published

    Empirical safety stock estimation based on kernel and GARCH models

    Trapero Arenas, J. R., Cardos, M. & Kourentzes, N., 04/2019, In: Omega: The International Journal of Management Science. 84, p. 199-211 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  21. Published
  22. Unpublished

    Estimating the market potential with pre-release buzz

    Schaer, O., Kourentzes, N. & Fildes, R. A., 3/02/2019, (Unpublished) Department of Management Science, Lancaster University, p. 1-39, 39 p.

    Research output: Working paper

  23. Published

    Feature selection for time series prediction - A combined filter and wrapper approach for neural networks

    Crone, S. F. & Kourentzes, N., 06/2010, In: Neurocomputing. 73, 10-12, p. 1923-1936 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  24. Published

    Forecast combinations for intermittent demand

    Petropoulos, F. & Kourentzes, N., 06/2015, In: Journal of the Operational Research Society. 66, 6, p. 914-924 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. Published

    Forecast reconciliation: A review

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Panagiotelis, A., 30/04/2024, In: International Journal of Forecasting. 40, 2, p. 430-456 27 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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