I.U. Ricardo

Ivan Ricardo is a PhD Candidate in Econometrics at the Quantitative Economics department with a specialization in time series and structured data. More specifically, Ivan develops methods for matrix and tensor valued time series, with a focus on co-movements and inference in macroeconomics. Current work focuses on the interpretation of matrix-valued time series models in both stationary and non-stationary settings.

Ivan regularly presents at international conferences (e.g., CFE-CM Statistics, Netherlands Econometrics Study Group) and teaches Econometrics Methods I for Bsc Econometrics and Operations Research and Statistics I for Bsc University College Maastricht and Bsc Maastricht Science Program.