HCM Workshop: High Dimensionality and Data Analysis

Date: May 27 - 28, 2021

Venue: Lipschitz lecture hall, Mathematics Center, Endenicher Allee 60, 53115 Bonn

Organizers: Lena Janys (University Bonn), Dominik Liebl (University Bonn)


The analysis of high dimensional data is among the most challenging data problems affecting all empirical sciences. As part of the big data revolution, increasing amounts of data are available
to scientists. However, appropriate methods to analyze and process such high dimensional data structures are still being developed. In particular, there is a need for robust methods addressing model selection, uncertainty quantification, and prediction as well as scalable and efficient computational tools for processing high dimensional complex data structures. This interdisciplinary workshop is intended to bring together the leaders from computer science, numerical simulation, econometrics and statistics working on high dimensional data problems. The aim is to foster exchange between the different disciplines and to discuss recent developments and problems.