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Dr Alisa Yusupova

Lecturer in Marketing Analytics

Alisa Yusupova

The Management School



Research Interests

My research interests are in time-series modelling and forecasting. I am primarily interested in forecasting with dynamic linear models, forecast combinations and specialise in house price forecasting. 

Current Research


  • A sequential Monte Carlo approach to adaptive exponential smoothing (with Nicos Pavlidis).

  • Time varying parameters in exponential smoothing framework (with Ivan Svetunkov).

Current Teaching

MSCI521: Statistics and Descriptive Analytics

MSCI331: Data Mining for Direct Marketing and Finance

MSCI581: Introduction to Marketing Analytics

This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.



MSc in Money, Banking and Finance (Lancaster University, UK)

BSc in Banking (State University of Economics and Finance, Saint-Petersburg, Russia)

  • Published

    Dynamic linear models with adaptive discounting

    Yusupova, A., Pavlidis, N. & Pavlidis, E., 31/10/2023, In: International Journal of Forecasting. 39, 4, p. 1925-1944 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  • Published

    Forecasting: theory and practice

    Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Ben Taieb, S., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Cyrino Oliveira, F. L., De Baets, S., Dokumentov, A. & Ellison, J. & 60 others, Fiszeder, P., Franses, P. H., Frazier, D. T., Gilliland, M., Gönül, M. S., Goodwin, P., Grossi, L., Grushka-Cockayne, Y., Guidolin, M., Guidolin, M., Gunter, U., Guo, X., Guseo, R., Harvey, N., Hendry, D. F., Hollyman, R., Januschowski, T., Jeon, J., Jose, V. R. R., Kang, Y., Koehler, A. B., Kolassa, S., Kourentzes, N., Leva, S., Li, F., Litsiou, K., Makridakis, S., Martin, G. M., Martinez, A. B., Meeran, S., Modis, T., Nikolopoulos, K., Önkal, D., Paccagnini, A., Panagiotelis, A., Panapakidis, I., Pavía, J. M., Pedio, M., Pedregal, D. J., Pinson, P., Ramos, P., Rapach, D. E., Reade, J. J., Rostami-Tabar, B., Rubaszek, M., Sermpinis, G., Shang, H. L., Spiliotis, E., Syntetos, A. A., Talagala, P. D., Talagala, T. S., Tashman, L., Thomakos, D., Thorarinsdottir, T., Todini, E., Trapero Arenas, J. R., Wang, X., Winkler, R. L., Yusupova, A. & Ziel, F., 1/07/2022, In: International Journal of Forecasting. 38, 3, p. 705-871 167 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  • 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/MagazineJournal article

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