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Dr Ivan Svetunkov

Lecturer, Research Student

Ivan Svetunkov

The Management School



Tel: +44 1524 510913

Research overview

Ivan currently works in the field of theory of forecasting methods and their application to supply chain area. He focuses on state-space models and is also a good specialist in time series analysis and econometrics. The area of his interests also includes marketing analytics and marketing research.

PhD supervision

I am looking for PhD students eager to work in the areas of Forecasting, Marketing Analytics and Time Series Analysis. The perfect candidate should not be scared of mathematics and should either know or be ready to learn how to programme (preferably in R). The candidate should also be able to look into the future and understand that it is not what it used to be.

Career Details

Ivan graduated Saint-Petersburg State University of Economics and Finance (SPbSUEF) in 2006 and defended there the candidate dissertation in Economics in 2008. The topic of the thesis was "The Complex Variables Production Functions" which proposed a new type of production functions using complex numbers theory.

After that Ivan worked as a lecturer in Higher School of Economics, Saint-Petersburg and partially in SPbSUEF, teaching such courses as Microeconomics, Statistics, Econometrics, Financial Mathematics and Forecasting.

In 2013 Ivan joined Lancaster Centre for Forecasting (Lancaster University, UK) as PhD student. He has developed a new type of exponential smoothing which was called "Complex Exponential Smoothing".

As a Research Associate Ivan developed an intermittent state-space model (in collaboration with John Boylan) and worked on ARIMA implementation for Demand Works company.

As a lecturer in Management Science Department, Ivan started also working in the areas of marketing analytics modelling and marketing research.

He maintains two R packages: "smooth", implementing and developing state-space models for time series analysis and forecasting purposes and "greybox" for model building and forecasting (both available in CRAN). He also works in C++ and Java.

Ivan has near 30 publications in Russian language, including the textbook "Methods of Forecasting" written in co-authorship with Sergey Svetunkov.

The area of his scientific interests includes statistical modelling, time series analysis and application of complex valued models in business and economics.

Additional Information

For some more information about me see my Linkedin page, my twitter or my forecasting related website.

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