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Etienne Wijler is an Assistant Professor in the Department of Econometrics and Data Science at Vrije Universiteit Amsterdam, specializing in high-dimensional time series methods and the analysis of high-dimensional datasets, also known as Big Data. His research is increasingly relevant for a wide range of institutions, including governmental agencies that benefit from improved inference on large micro-economic datasets and commercial corporations managing vast amounts of unstructured data. His work focuses on the recognition of opportunities provided by non-traditional high-dimensional methods and explores behaviors from a recent statistical perspective, both theoretical and applied. He holds a PhD from the University of Maastricht, obtained in 2020. Currently, he is also involved in various consultancy activities and leads projects related to statistical inference in high-dimensional, non-stationary time series.
Administered under the Department of Clinical Psychology for Master's in Clinical and Developmental Psychopathology.