Outliers represent a fundamental challenge in the empirical finance research. We investigate whether the routine techniques used in finance research to identify and treat outliers are appropriate for ...

Working with large datasets in Excel can be daunting, especially when you need to identify critical trends or outliers. Have you ever stared at a massive Excel spreadsheet, feeling like you’re ...

Filling gaps in data sets or identifying outliers – that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...