معرفی
Ivan Svetunkov is a Senior Lecturer at Lancaster University's Management Science Department, specializing in forecasting and statistical modeling. He holds a PhD from Lancaster Centre for Forecasting (2013) and previously worked at Higher School of Economics and Saint-Petersburg State University. His research focuses on state-space models, intermittent demand forecasting, complex-valued models, and marketing analytics.
Education: MSc from Saint-Petersburg State University of Economics and Finance (2006), PhD in Economics (2013). Key contributions include the Complex Exponential Smoothing method and the development of R packages 'smooth', 'greybox', and 'legion'. He maintains academic presence through LinkedIn, Twitter, and a forecasting website.
Research interests span intermittent demand modeling, multivariate forecasting systems, advanced estimators, time-varying parameters, promotional modeling, and likelihood-based approaches. He supervises PhD students in statistical forecasting, requiring strong math/programming skills (R/Python).
Labs/Teams: Active in Lancaster Centre for Marketing Analytics and Forecasting. Collaborations include work with John Boylan on intermittent demand models and Demand Works on ARIMA implementations.
