Prof. Michael Wolf, Ph.D. is Full Professor of Econometrics and Applied Statistics at the University of Zurich.
Michael Wolf holds a Master’s Degree in Statistics from Stanford University, and a PhD in Statistics (1996) also from Stanford University.
His research is focused on time series analysis, multiple testing methods, bootstrap and subsampling methods, and the estimation of large-dimensional covariance matrices; applications include medical trials, the evaluation of economic interventions, and portfolio optimization.
His academic research has been published in top-tier peer-reviewed journals such as the Annals of Statistics, Econometrica, the Journal of the American Statistical Association, and Biometrika. He also co-wrote a book on Subsampling published by Springer. Professor Wolf has received an Honorary Award for his research by the German Statistical Association in 2008.