'We are observing the rapid growth of available complex data sets and structures that cannot be satisfactorily reconciled with the rigid and restrictive assumptions of traditional methods in statistics and Data Science. This is due to the existence of unstable, non-linear and complex interdependencies between groups and individuals and their heterogeneity. We develop statistical methods to describe and model these phenomena in the language of statistics. Subsequently, we use these as a basis to develop suitable prediction models and to evaluate their reliability.'
More on his research
Professor Haupt conducts research in the area of semi-parametric and non-parametric regression and forecasting models. In addition to research on the statistical and stochastic properties of the methods and models developed, empirical work is generated on a wide range of applications and projects, including in the areas of Climate Econometrics and Economics.