The statistics group focusses on developing sound statistical models and methodology for the data-driven analysis of complex and dynamic systems, with the aim to perform predictive, prescriptive or preemptive analytics. Our research activities are heavily intertwined with applications, e.g., process monitoring and improvement, weather forecasting and causal inference. Topics are ranging from heavily data-driven to fundamental and methodological aspects, including causality, dependence structure models, high-dimensional and non-parametric statistics and sequential decision making and data collection. The group collaborates closely with the Teaching & Research Institute for Data Science Analytics (TRI-DSA).
Members
Affiliated Members
Recent Publications*
* – Disclaimer: this list is automatically recovered from the TU/e Pure repository. Due to difficulties in integrating the pure API in wordpress there might be repetitions and it might not be fully representative of all recent publications.