Wolfgang Härdle

German statistician

Wolfgang Karl Härdle, born in Darmstadt on 20 October 1953, established a career centered on semiparametric and nonparametric estimation methods. His academic contributions span the fields of mathematics, statistics, mathematical statistics, and mathematical finance, reflecting a dedication to complex data analysis that began following his 1978 mathematics diploma and continues through his ongoing tenure at the university level.

Academic Foundation

The early education of Härdle took place at the Goethe Gymnasium in Gaggenau, where he graduated in 1972. He proceeded to study mathematics at the University of Karlsruhe. His transition to higher-level research led to a doctorate in natural sciences from Heidelberg University in 1982, completed under the supervision of Theodor Gasser. This was followed by a habilitation in statistics and econometrics at the University of Bonn in 1988.

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Professional Appointments

Härdle’s career includes an international trajectory involving research and teaching. In 1989, he served as a guest scientist and later as an associate professor at the Université catholique de Louvain. In 1991, he joined the faculty at Humboldt-Universität zu Berlin, where he has remained as a professor at the Faculty of Economics since 1992. His institutional leadership includes directing the international DFG graduate program IRTG 1792, titled High Dimensional Non Stationary Time Series, which launched in 2013.

Software Development and Recognition

Beyond his theoretical work in statistics, Härdle founded the company MD*Tech. This venture focused on the development and distribution of XploRe, a piece of statistical software designed to assist with complex mathematical tasks. His professional standing in the field is evidenced by his election as a Fellow of the Institute of Mathematical Statistics in 1992, a professional body of which he remains a member.

Fast facts

Questions readers ask

What is the primary focus of Wolfgang Härdle's research?

He specializes in semiparametric and nonparametric estimation methods within the fields of mathematics and statistics.

Which graduate program does he direct?

He is the director of the DFG graduate program IRTG 1792, which focuses on high dimensional non-stationary time series.

Achievements

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