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Centre for Marketing Analytics

  1. Published

    Influence of user participation on DSS use and decision accuracy

    Lawrence, M., Goodwin, P. & Fildes, R. A., 2002, In: Omega: The International Journal of Management Science. 30, p. 381-392 12 p.

    Research output: Contribution to journalJournal article

  2. Published

    Information disclosure to employees and rational expectations: a game theoretical perspective - a comment

    Pope, P. F. & Peel, D., 10/1997, In: Journal of Business Finance and Accounting. 24, 9, p. 1433-1435 3 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Published

    Information use in supply chain forecasting

    Fildes, R., Goodwin, P. & Onkal, D., 05/2015, Lancaster: Department of Management Science, Lancaster University, 35 p. (Lancaster University Department of Management Science Working Paper Series; vol. 2015, no. 2).

    Research output: Working paper

  4. 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/ISSNConference contribution/Paperpeer-review

  5. Published

    Input-variable Specification for Neural Networks - an Analysis of Forecasting low and high Time Series Frequency

    Crone, S. F. & Kourentzes, N., 2009, International Joint Conference on Neural Networks, 2009. IJCNN 2009.. New York: IEEE, p. 3221-3228 8 p.

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

  6. Published

    Insider Trading: Some Evidence on Market Efficiency and Directors' Share Dealings in Great Britain

    Pope, P., Morris, R. & Peel, D., 06/1990, In: Journal of Business Finance and Accounting. 17, 3, p. 359-380 22 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

    Instance sampling in credit scoring: An empirical study of sample size and balancing

    Crone, S. F. & Finlay, S., 01/2012, In: International Journal of Forecasting. 28, 1, p. 224-238 15 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    Integrated Planning of Order Capture and Delivery for Attended Deliveries in Metropolitan Areas

    Köhler, C., Lang, M. A. K., Cleophas, C. & Ehmke, J. F., 2017, Operations Research Proceedings 2016: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016. Fink, A., Fügenschuh, A. & Geiger, M. J. (eds.). Cham: Springer, p. 435-440 6 p.

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

  9. Published

    Intermittent and lumpy demand: the forecasting challenge

    Boylan, J., 2005, In: Foresight: The International Journal of Applied Forecasting. 1, p. 36-42 7 p.

    Research output: Contribution to journalJournal articlepeer-review

  10. Published

    Intermittent demand: estimation and statistical properties

    Syntetos, A. A. & Boylan, J., 24/03/2011, Service parts management. Altay, N. & Litteral, L. A. (eds.). London: Springer London, p. 1-30 31 p. Chapter 1

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  11. Published

    Intermittent demand forecasting: size-interval methods based on averaging and smoothing

    Boylan, J., 2003, Proceedings of the International Conference on Quantitative Methods in Industry and Commerce, Athens, Greece. p. 87-96 10 p.

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

  12. Published

    Intermittent demand forecasts with neural networks

    Kourentzes, N., 05/2013, In: International Journal of Production Economics. 143, 1, p. 198-206 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  13. Published

    Internet Usage and Online Shopping Experience as Predictors of Consumers’per Preferences to Shop Online Across Product Categories

    Soopramanien, D. G. R., Robertson, A. & Fildes, R. A., 2003, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  14. 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 journalJournal articlepeer-review

  15. Published

    Introducing forecasting and monitoring methods to an SME: the role of Soft Systems Methodology

    Boylan, J. & Willams, M. A., 2001, Mixed-mode modelling : mixing methodologies for organisational intervention. Nicholls, M. G., Clarke, S. & Lehaney, B. (eds.). Kluwer

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  16. E-pub ahead of print

    Introducing the locally stationary dual-tree complex wavelet model

    Nelson, J. D. B. & Gibberd, A. J., 19/08/2016, (E-pub ahead of print) 2016 IEEE International Conference on Image Processing (ICIP). IEEE, p. 3583-3587 5 p.

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

  17. 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 journalJournal articlepeer-review

  18. 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 journalJournal articlepeer-review

  19. Published

    Investigating the information content of the model-free volatility expectation by Monte Carlo methods

    Zhang, Y., Taylor, S. J. & Wang, L., 11/2013, In: Journal of Futures Markets. 33, 11, p. 1071-1095 25 p.

    Research output: Contribution to journalJournal articlepeer-review

  20. Published

    Involuntary saving, unanticipated inflation and the rationality of expectations formation: Some empirical evidence

    Macdonald, R. & Peel, D., 09/1985, In: Weltwirtschaftliches Archiv. 121, 3, p. 553-559 7 p.

    Research output: Contribution to journalJournal articlepeer-review

  21. Published

    Is there a golden rule?

    Fildes, R. & Petropoulos, F., 08/2015, In: Journal of Business Research. 68, 8, p. 1742-1745 4 p.

    Research output: Contribution to journalJournal articlepeer-review

  22. Published

    Judgement and supply chain dynamics

    Syntetos, A. A., Georgantzas, N. C., Boylan, J. & Dangerfield, B. C., 1/06/2011, In: Journal of the Operational Research Society. 62, 6, p. 1138-1158 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  23. Published

    Judgemental forecasts of times series affected by special events: does providing a statistical forecast improve accuracy?

    Fildes, R. A. & Goodwin, P., 1999, In: Journal of Behavioral Decision Making. 12, p. 37-53 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  24. Published

    Judging the judges through accuracy-implication metrics: the case of inventory forecasting

    Syntetos, A. A., Nikolopoulos, K. & Boylan, J., 1/01/2010, In: International Journal of Forecasting. 26, 1, p. 134-143 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  25. Published

    Judgmental Adjustments to Demand Forecasts: Accuracy Evaluation and Bias Correction

    Davydenko, A., Fildes, R. A. & Trapero Arenas, J. R., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  26. Published

    Key assumptions in calculating the Cost of Forecast Error. A commentary on Peter Catt’s article, assessing the Cost of Forecast Error, in Issue 7 of Foresight

    Boylan, J., 2007, In: Foresight: The International Journal of Applied Forecasting. 8, p. 22-24 3 p.

    Research output: Contribution to journalJournal articlepeer-review

  27. Published

    Künstliche neuronale Netze zur betrieblichen Entscheidungsunterstützung

    Crone, S., 2003, In: WISU - Das Wirtschaftsstudium. 32, 4, p. 452-458 7 p.

    Research output: Contribution to journalJournal article

  28. Published

    Lambda-perceptron: an adaptive classifier for data-streams

    Pavlidis, N., Tasoulis, D., Adams, N. M. & Hand, D. J., 01/2011, In: Pattern Recognition. 44, 1, p. 78-96 19 p.

    Research output: Contribution to journalJournal articlepeer-review

  29. Published

    Levels, difference and ECMs: principles for improved econometric forecasting

    Allen, P. G. & Fildes, R. A., 2005, In: Oxford Bulletin of Economics and Statistics. 67, p. 881-904 24 p.

    Research output: Contribution to journalJournal articlepeer-review

  30. Published

    Levels, differences and ECMs - principles for improved econometric forecasting

    Fildes, R. A. & Allen, P. G., 2004, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  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 journalJournal articlepeer-review

  32. Published

    Lifecycle Forecast for Consumer Technology Products with Limited Sales Data

    Li, X., Yin, Y., Manrique, D. V. & Bäck, T., 30/09/2021, In: International Journal of Production Economics. 239, 10 p., 108206.

    Research output: Contribution to journalJournal articlepeer-review

  33. Published

    Long Memory Risk Premia in Exchange Rates’

    Byers, J. D. & Peel, D., 12/1996, In: Manchester School. 64, 4, p. 421-438 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  34. Published

    Macroeconomics and the Agricultural Sector

    Midmore, P. & Peel, D., 1993, Current Issues in Agricultural Economics. Rayner, A. J. & Colman, D. (eds.). Basingstoke: Macmillan, p. 154-177 24 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  35. Published

    Maximum Clusterability Divisive Clustering

    Hofmeyr, D. & Pavlidis, N. G., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 780-786 7 p.

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

  36. Published

    Measuring forecasting accuracy: the case of judgmental adjustments to SKU-level demand forecasts

    Davydenko, A. & Fildes, R., 07/2013, In: International Journal of Forecasting. 29, 3, p. 510-522 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  37. Published

    Measuring residential internet service adoption patterns

    Robertson, A., Soopramanien, D. G. R. & Fildes, R. A., 2005, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  38. Published

    Measuring the Accuracy of Judgmental Adjustments to SKU-level Demand Forecasts

    Davydenko, A., Fildes, R. A. & Trapero Arenas, J. R., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  39. Published

    Measuring willingness to pay as a range, revisited: When should we care?

    Dost, F. & Wilken, R., 06/2012, In: International Journal of Research in Marketing. 29, 2, p. 148-166 19 p.

    Research output: Contribution to journalJournal articlepeer-review

  40. 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 journalJournal articlepeer-review

  41. 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/ISSNConference contribution/Paperpeer-review

  42. Published

    Minimum Density Hyperplanes

    Pavlidis, N. G., Hofmeyr, D. & Tasoulis, S., 28/09/2016, In: Journal of Machine Learning Research. 17, 156, p. 1-33 33 p.

    Research output: Contribution to journalJournal articlepeer-review

  43. Published

    Minimum density hyperplanes in the feature space

    Yates, K. & Pavlidis, N. G., 11/02/2017, Big Data (Big Data), 2016 IEEE International Conference on. IEEE, p. 3613-3618 6 p.

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

  44. 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 journalJournal articlepeer-review

  45. Published

    Mining the past to forecast the future: comments

    Crone, S., 2009, In: International Journal of Forecasting. 25, 3, p. 456–460 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  46. Published

    Modeling brain wave data by using artificial neural networks

    Aladag, C. H., Egrioglu, E. & Kadilar, C., 23/04/2010, In: Hacettepe Journal of Mathematics and Statistics. 39, 1, p. 81-88 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  47. Published

    Modelling and inference for the travel times in vehicle routing problems

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

    Research output: ThesisDoctoral Thesis

  48. Published

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

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

    Research output: ThesisDoctoral Thesis

  49. Published

    Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting

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

    Research output: Working paper

  50. Published

    Multi-agent modelling for revenue management

    Cleophas, C., 03/2012, In: Journal of Revenue and Pricing Management. 11, 2, p. 240-242 3 p.

    Research output: Contribution to journalJournal articlepeer-review

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