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. Professor Wolf has received an Honorary Award for his research by the German Statistical Association in 2008.
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.