Research Projects


This page provides more information on the research projects carried out in the context of my Marie Curie action BigTime.


Structured Regularizers for High-dimensional Time Series Models

Large time series data sets nowadays pervade every domain of science, business and economics. We develop a new class of convex regularizers for large dynamic systems.

Vector AutoRegressions (VARs) form a fundamental tool for modeling multivariate time series. Yet, they easily suffer from the curse of dimensionality since the number of parameters increases quadratically with the number of component series, as graphically visualized below.