Conveners
Modelling 1
- Chair: Sven Knoth (Helmut Schmidt University Hamburg, Germany)
Automated procedures of real estate price estimation and prediction have been used in the real estate sector since 15 years. Various providers of real estate price predictions are available, e. g., the platform Zillow, or Immoscout 24 from Germany. Simultaneously, the problem of real estate price prediction has become a subject of statistical and machine learning literature. The current...
Large-scale dynamic forecasting of non-negative count series is a major challenge in many areas like epidemic monitoring or retail management. We propose Bayesian state-space models that are flexible enough to adequately forecast high and low count series and exploit cross-series relationships with a multivariate approach. This is illustrated with a large scale sales forecasting problem faced...
In many data analytics applications based on machine learning algorithms, the main focus is usually on predictive modeling. In certain cases, as in many applications in manufacturing, understanding the data-driven model plays a crucial role in complementing the engineering knowledge about the production process. There is therefore a growing interest in describing the contributions of the input...