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Professor Nikos Kourentzes

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  1. Unpublished

    Forecasting with Temporal Hierarchies

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 2015, (Unpublished) Lancaster: Department of Management Science, Lancaster University, 26 p.

    Research output: Working paper

  2. Published

    Forecasting with temporal hierarchies

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 1/10/2017, In: European Journal of Operational Research. 262, 1, p. 60-74 15 p.

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

  3. E-pub ahead of print

    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/Magazine › Journal article › peer-review

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

  5. 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/Magazine › Journal article › peer-review

  6. Published

    The impact of special days in call arrivals forecasting: a neural network approach to modelling special days

    Barrow, D. K. & Kourentzes, N., 1/02/2018, In: European Journal of Operational Research. 264, 3, p. 967-977 11 p.

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

  8. Published

    Input variable selection for time series prediction with neural networks- an evaluation of visual, autocorrelation and spectral analysis for varying seasonality

    Crone, S. & Kourentzes, N., 2007, The 1st European Symposium on Time Series Prediction, ESTSP'07 (Helsinki, Finland) - 2007. N/A: unknown

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

  9. 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/Magazine › Journal article › peer-review

  10. Published

    Forecasting seasonal time series with multilayer perceptrons - an empirical evaluation of input vector specifications for deterministic seasonality

    Crone, S. & Kourentzes, N., 2009, Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. . Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press, p. 232-238 7 p.

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

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