Prof. Dr. Anne Leucht
Project: B6 Associated Researcher Tel.: +49 (0) 531-391-7569 |  |
Anne Leucht was an assistant professor for economics, theoretical econometrics and statistics at the University of Mannheim from October 2012 until March 2014. Since April 2014 she is an associate professor for stochastics with applications at the Technische Universität Braunschweig. Her research interests include time series analysis, statistical testing and in particular resampling methods.
Selected Publications:
Leucht, A., Neumann, M. H. (2009). Consistency of general bootstrap methods for degenerate U- and Vtype
statistics. Journal of Multivariate Analysis 100, 1622-1633.
Leucht, A. (2009). Asymptotic theory and bootstrap consistency for U-statistics under weak dependence.
Proceedings of the 16th European Young Statisticians Meeting, 51-55.
Leucht, A. (2012). Characteristic function-based hypothesis tests under weak dependence. Journal of
Multivariate Analysis 108, 67-89.
Leucht, A. (2012). Degenerate U- and V-statistics under weak dependence: Asymptotic theory and
bootstrap consistency. Bernoulli 18, 552-585.
Leucht, A., Neumann, M. H. (2013). Degenerate U- and V-statistics under ergodicity: Asymptotics,
bootstrap and applications in statistics. Annals of the Institute of Statistical Mathematics 65, 349-386.
Leucht, A., Neumann, M. H. (2009). Consistency of general bootstrap methods for degenerate U- and Vtype
statistics. Journal of Multivariate Analysis 100, 1622-1633.
Leucht, A. (2009). Asymptotic theory and bootstrap consistency for U-statistics under weak dependence.
Proceedings of the 16th European Young Statisticians Meeting, 51-55.
Leucht, A. (2012). Characteristic function-based hypothesis tests under weak dependence. Journal of
Multivariate Analysis 108, 67-89.
Leucht, A. (2012). Degenerate U- and V-statistics under weak dependence: Asymptotic theory and
bootstrap consistency. Bernoulli 18, 552-585.
Leucht, A., Neumann, M. H. (2013). Degenerate U- and V-statistics under ergodicity: Asymptotics,
bootstrap and applications in statistics. Annals of the Institute of Statistical Mathematics 65, 349-386.
