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  1. 2021
  2. Published

    Meta-learning for Forecasting Model Selection

    Barak, S., 2021, Lancaster University. 165 p.

    Research output: Thesis › Doctoral Thesis

  3. 2020
  4. Published

    Metric learning for simulation analytics

    Laidler, G., Morgan, L., Nelson, B. & Pavlidis, N., 18/12/2020, Proceedings of the 2020 Winter Simulation Conference. IEEE, p. 349-360 12 p.

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

  5. 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

  6. Published

    Survey: What’s new in forecasting software?

    Fildes, R., Schaer, O., Svetunkov, I. & Yusupova, A., 4/08/2020, In: Operations Research Management Science Today. 47, 4

    Research output: Contribution to Journal/Magazine › Journal article

  7. Published

    Electrical Waste - challenges and opportunities: An Independent study on Waste Electrical and Electronic Equipment (WEEE) flows in the UK

    Sayers, M., Silva, C., Schaer, O., Stowell, A., Yumashev, D., Downes, S., Grantham, L., Laundon, C. & McCoach, H., 16/07/2020

    Research output: Book/Report/Proceedings › Commissioned report

  8. Published

    Forecasting third-party mobile payments with implications for customer flow prediction

    Ma, S. & Fildes, R., 1/07/2020, In: International Journal of Forecasting. 36, 3, p. 739-760 22 p.

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

  9. Published

    Optimising forecasting models for inventory planning

    Kourentzes, N., Trapero, J. R. & Barrow, D., 1/07/2020, In: International Journal of Production Economics. 225, 9 p., 107597.

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

  10. Published

    Interpretable brain age prediction using linear latent variable models of functional connectivity

    Monti, R. P., Gibberd, A., Roy, S., Nunes, M., Lorenz, R., Leech, R., Ogawa, T., Kawanabe, M. & Hyvärinen, A., 10/06/2020, In: PLoS ONE. 15, 6, 25 p., e0232296.

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

  11. Published

    The impact of demand parameter uncertainty on the bullwhip effect

    Pastore, E., Alfieri, A., Zotteri, G. & Boylan, J. E., 16/05/2020, In: European Journal of Operational Research. 283, 1, p. 94-107 14 p.

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

  12. Published

    Spillover effects of investment in big data analytics in B2B relationships: What is the role of human capital?

    Sena, V. & Ozdemir, S., 1/04/2020, In: Industrial Marketing Management. 86, p. 77-89 13 p.

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

  13. E-pub ahead of print

    Consistent multiple changepoint estimation with fused Gaussian graphical models

    Gibberd, A. & Roy, S., 17/03/2020, (E-pub ahead of print) In: Annals of the Institute of Statistical Mathematics. 27 p.

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

  14. 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/Magazine › Journal article › peer-review

  15. Published

    Intuitionistic fuzzy ridge regression functions

    Kizilaslan, B., Egrioglu, E. & Evren, A. A., 1/03/2020, In: Communications in Statistics: Simulation and Computation. 49, 3, p. 699-708 10 p.

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

  16. Published

    Picture fuzzy time series: Defining, modeling and creating a new forecasting method

    Egrioglu, E., Bas, E., Yolcu, U. & Chen, M. Y., 28/02/2020, In: Engineering Applications of Artificial Intelligence. 88, 13 p., 103367.

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

  17. 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

  18. Published

    AR–ARCH Type Artificial Neural Network for Forecasting

    Corba, B. S., Egrioglu, E. & Dalar, A. Z., 1/02/2020, In: Neural Processing Letters. 51, p. 819–836 18 p.

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

  19. 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

  20. Published

    A Simple Combination of Univariate Models

    Petropoulos, F. & Svetunkov, I., 1/01/2020, In: International Journal of Forecasting. 36, 1, p. 110-115 6 p.

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

  21. Published

    Modelling and managing Supply Chain forecast uncertainty in the presence of the Bullwhip Effect

    Saoud, P., 2020, Lancaster University. 152 p.

    Research output: Thesis › Doctoral Thesis

  22. 2019
  23. Published

    A Fuzzy Data-Driven Paradigmatic Predictor

    Amirjavid, F., Nemati, H. & Barak, S., 31/12/2019, In: IFAC-PapersOnLine. 52, 13, p. 2366-2371 6 p.

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

  24. Published

    A Fuzzy Paradigmatic Clustering Algorithm

    Amirjavid, F., Barak, S. & Nemati, H., 31/12/2019, In: IFAC-PapersOnLine. 52, 13, p. 2360-2365 6 p.

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

  25. Published

    Evaluation and selection of clustering methods using a hybrid group MCDM

    Barak, S. & Mokfi, T., 30/12/2019, In: Expert Systems with Applications. 138, 19 p., 112817.

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

  26. Published

    PPCI: an R Package for Cluster Identification using Projection Pursuit

    Hofmeyr, D. & Pavlidis, N., 27/12/2019, In: The R Journal.

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

  27. Published

    Forecasting retailer product sales in the presence of structural change

    Huang, T., Fildes, R. & Soopramanien, D., 1/12/2019, In: European Journal of Operational Research. 279, 2, p. 459-470 12 p.

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

  28. E-pub ahead of print

    A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction

    Cagcag Yolcu, O., Bas, E., Egrioglu, E. & Yolcu, U., 1/11/2019, (E-pub ahead of print) In: Soft Computing. 12 p.

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

  29. Unpublished

    Business forecasting with online buzz

    Schaer, O., 11/10/2019, (Unpublished) Lancaster University. 138 p.

    Research output: Thesis › Doctoral Thesis

  30. Published

    Intuitionistic time series fuzzy inference system

    Egrioglu, E., Bas, E., Yolcu, O. C. & Yolcu, U., 30/06/2019, In: Engineering Applications of Artificial Intelligence. 82, p. 175-183 9 p.

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

  31. Published

    Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective

    Wang, Y., Kung, L. A., Gupta, S. & Ozdemir, S., 1/04/2019, In: British Journal of Management. 30, 2, p. 362-388 27 p.

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

  32. 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/Magazine › Journal article › peer-review

  33. 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/Magazine › Journal article › peer-review

  34. Published

    The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes

    Rostami-Tabar, B., Babai, M. Z., Ali, M. & Boylan, J. E., 16/03/2019, In: European Journal of Operational Research. 273, 3, p. 920-932 13 p.

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

  35. Published

    Capacity Uncertainty in Airline Revenue Management: Models, Algorithms, and Computations

    Busing, C., Kadatz, D. & Cleophas, C., 1/03/2019, In: Transportation Science. 53, 2, p. 383-400 18 p.

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

  36. Published

    Incorporating macroeconomic leading indicators in tactical capacity planning

    Sagaert, Y. R., Kourentzes, N., De Vuyst, S., Aghezzaf, E-H. & Desmet, B., 1/03/2019, In: International Journal of Production Economics. 209, p. 12-19 8 p.

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

  37. Published

    Minimum spectral connectivity projection pursuit: Divisive clustering using optimal projections for spectral clustering

    Hofmeyr, D., Pavlidis, N. G. & Eckley, I. A., 1/03/2019, In: Statistics and Computing. 29, 2, p. 391–414 24 p.

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

  38. Published

    Unconstraining methods for revenue management systems under small demand

    Kourentzes, N., Li, D. & Strauss, A., 14/02/2019, In: Journal of Revenue and Pricing Management. 18, 1, p. 27-41 15 p.

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

  39. 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

  40. 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

  41. Published

    Median-Pi artificial neural network for forecasting

    Egrioglu, E., Yolcu, U., Bas, E. & Dalar, A. Z., 18/01/2019, In: Neural Computing and Applications. 31, 1, p. 307-316 10 p.

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

  42. Published

    Dynamic Decision Making under Supply Chain Competition

    Li, X., 11/01/2019, Erasmus University.

    Research output: Thesis › Doctoral Thesis

  43. 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/Magazine › Journal article › peer-review

  44. Published

    Perspectives on supply chain forecasting: Special Section: Supply Chain Forecasting

    Boone, T., Boylan, J. E., Fildes, R., Ganeshan, R. & Sanders, N., 01/2019, In: International Journal of Forecasting. 35, 1, p. 121-127 7 p.

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

  45. Published

    Use and misuse of information in supply chain forecasting of promotion effects

    Fildes, R. A., Goodwin, P. & Onkal, D., 01/2019, In: International Journal of Forecasting. 35, 1, p. 144-156 13 p.

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

  46. Published

    Modelling and inference for the travel times in vehicle routing problems

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

    Research output: Thesis › Doctoral Thesis

  47. 2018
  48. Published

    The locally stationary dual-tree complex wavelet model

    Nelson, J., Gibberd, A., Nafornita, C. & Kingsbury, N., 11/2018, In: Statistics and Computing. 28, 6, p. 1139-1154 16 p.

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

  49. Published

    Temporally Smoothed Wavelet Coherence for Multivariate Point-Processes and Neuron-Firing

    Gibberd, A. & Cohen, E., 28/10/2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, p. 1220-1224 5 p.

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

  50. Published

    Producing long-term forecasts of the development of arctic shelf

    Ilinova, A., Chanysheva, A., Kourentzes, N. & Svetunkov, I., 16/10/2018, Innovation-Based Development of the Mineral Resources Sector: Challenges and Prospects: Proceedings of the 11th Russian-German Raw Materials Conference, November 7-8, 2018, Potsdam, Germany. Litvinenko, V. (ed.). CRC Press, p. 539-553 15 p.

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

  51. Published

    Commentary on Retail Forecasting

    Boylan, J. E., 1/10/2018, In: International Journal of Forecasting. 34, 4, p. 832-834 3 p.

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

  52. Published

    A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation

    Barak, S. & Dahooei, J. H., 10/2018, In: Journal of Air Transport Management. 73, p. 134-149 16 p.

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

  53. Published

    Characterising Dependency in Computer Networks using Spectral Coherence

    Gibberd, A., Noble, J. & Cohen, E., 19/09/2018, Proceedings of the International Conference on Time Series and Forecasting. ITISE, p. 1147-1157 11 p.

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

  54. 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

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