Our publications

Sai, C., Davydenko, A., & Shcherbakov, M. (December 25, 2018) . The Forvision Project. Retrieved from https://forvis.github.io/

Sai, C., Davydenko, A., & Shcherbakov, M. (November 23-24, 2018). Data schemas for forecasting (with examples in R). Seventh International Conference on System Modelling & Advancement on Research Trends, 145-149. Moradabad, India.

Davydenko, A., & Fildes, R. (2016). Forecast Error Measures: Critical Review and Practical Recommendations. In Business Forecasting: Practical Problems and Solutions. John Wiley & Sons Inc.

Davydenko, A., & Fildes, R. (2014). Measuring Forecasting Accuracy: Problems and Recommendations (by the Example of SKU-Level Judgmental Adjustments). In Intelligent Fashion Forecasting Systems: Models and Applications, 43-70. Springer Berlin Heidelberg.

Shcherbakov, M., Brebels, A., Shcherbakova, N., Tyukov, A., Janovsky, T., & Kamaev, V. (2013). A Survey of Forecast Error Measures. Information Technologies in Modern Industry, Education & Society, 24, 171-176.

Davydenko, A., & Fildes, R. (2013). Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts. International Journal of Forecasting, 29(3), 510–522.

Davydenko, A., Fildes, R., & Trapero, J. (2010). Measuring the Accuracy of Judgmental Adjustments to SKU-level Demand Forecasts. Tech. rep., Lancaster University Management School Working Paper ²⁰¹⁰⁄₀₂₆.

Davydenko, A. (2010). How to Measure the Quality of Demand Forecasts Efficiently: a New Class of Forecasting Performance Metrics. LUMS’ Inaugural Research Conference. Lancaster, UK.