Research area Statistics & Data Science

From data to rational decisions

Statistics and Data Science

Developing models and strategies for data processing in a wide range of academic disciplines


The statistics and data science research area encompasses all academic disciplines involved in data processing and probabilities.
Statistics is the branch of mathematics that is devoted to the study of data. It is closely related to the branch of probability since statisticians interpret data as outcomes of random variables. Statisticians develop models and strategies from observed data in order to make predictions, estimations, and decisions on rational grounds. They study the mathematical properties of statistical procedures, assess their risks, and improve the state of the art by creating new ones. Statistics provides tools and techniques that feed into the broader field of data science.

The following scientists and their groups contribute to the research in this area: Yannick Baraud, Mark Podolskij, Christophe Ley

Research groups