I recently got my hands on a physical copy of my new book: Principles of Business Forecasting (2nd edition). Ord, K., Fildes, R. and Kourentzes, N., 2017. Principles of business forecasting. 2nd ed. Wessex Press Publishing Co. I was invited by Keith Ord and Robert Fildes to join them in writing the much-revised 2nd edition… Read More »
I was recently asked to give a short interview at Vetenskapsradion (“Science radio”) in Sweden on the research area of forecasting, its usefulness to society and industry, and the recent International Symposium of Forecasting 2021! Thanks for the invitation and the opportunity to discuss about the research area! You can find a short summary and… Read More »
There are two new positions at my team at the University of Skövde! Senior lecturer in informatics with a specialization in AI/data science Senior lecturer in informatics with a specialization in machine learning We have a great team interested in multiple areas of Artificial Intelligence, data science, and predictive modelling. You can find some more… Read More »
Kandrika F. Pritularga, Ivan Svetunkov, and Nikolaos Kourentzes, 2021. International Journal of Production Economics.
Nikolaos Kourentzes, Andrea Saayman, Philippe Jean-Pierre, Davide Provenzano, Mondher Sahli, Neelu Seetaram, and Serena Volo, 2021, Annals of Tourism Research 88: 103197.
The PhD Student Council at the University of Skövde hosted a panel discussion on the topic of AI in research. Together with Peter Anderberg, Jörgen Hansson, Amos Ng, and Jane Synnergren, we discussed our views, informed by the perspectives from our different areas of research. We touched upon various aspects of the topic, and concluded… Read More »
The slides for my presentation at the International Symposium on Forecasting 2020 are available here. Building on the work by Pangiotelis et al. (2020) we investigate the implications of the geometric interpretation of hierarchical forecasting further. We propose a new framework for generating hierarchical forecasts, which encompasses previous hierarchical methods while providing insights on their… Read More »
We are inviting submissions to a special issue at the International Journal of Forecasting on the topic of “Innovations in Hierarchical Forecasting”. The special issue is guest edited by G. Athanasopoulos, R. J. Hyndman, A. Panagiotelis and myself and its submission deadline is on the 31st of August 2021. Organisations make multiple decisions informed by… Read More »
Together with Devon Barrow and Sven Crone, we gave a talk at the recent OR 62 conference, moderated by Christina Phillips. The topic was: “The quest for greater forecasting accuracy: Perspectives from Statistics & Machine Learning”. I have worked with both Devon and Sven in the past years and the three of us share quite… Read More »
Last week we run the first workshop of the Forecasting Forum Scandinavia, hoping to start an ongoing discussion between academia and practice around forecasting and predictive analytics. The vision is for this to be the catalyst in: providing innovative solutions to real business problems, at a rigorous scientific standard; shorten the path to implementing innovative… Read More »
I am delighted to receive the news that my recent paper with George Athanasopoulos at the European Journal of Operational Research has been selected as the EJOR editor’s choice article for June 2020. My thanks to the editor and the reviewers for their help with their comments and recommendations in improving the paper and bringing… Read More »