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Profil
| Derzeitige Stellung | Professor W-3 und Äquivalente |
|---|---|
| Fachgebiet | Statistik und Ökonometrie,Mathematische Statistik, Angewandte Statistik |
| Keywords | quantile regression, lasso, high-dimensional statistics, machine learning, partial identification |
Aktuelle Kontaktadresse
| Land | USA |
|---|---|
| Ort | Cambridge |
| Universität/Institution | Massachusetts Institute of Technology |
| Institut/Abteilung | Department of Economics |
Gastgeber*innen während der Förderung
| Prof. Dr. Martin Spindler | Institut für Statistik und Ökonometrie (IStÖ), Universität Hamburg, Hamburg |
|---|---|
| Beginn der ersten Förderung | 01.01.2018 |
Programm(e)
| 2017 | Friedrich Wilhelm Bessel-Forschungspreis-Programm |
|---|
Projektbeschreibung der*des Nominierenden
| Professor Chernozhukov is well known internationally for his contributions to high-dimensional econometrics and statistics, machine learning and the advancement of quantile regression methods. He develops tools in mathematical statistics and applies them in order to solve economic and econometric problems. In Germany, he continues his research on machine learning, big data and high-dimensional econometrics. |