Rainer Dyckerhoff
Research focuses
Multivariate Statistics, Data Depth, Central Regions, Computational Statistics
Curriculum vitae
- 2013 Appointment as apl. Professor at the University of Cologne
- Since 2006 „Akademischer Oberrat”, Department of Economic and Social Statistics, University of Cologne
- 2001 - 2006 „Akademischer Rat”, Department of Economic and Social Statistics, University of Cologne
- 1995 - 2001 „Wissenschaftlicher Assistant” , Department of Economic and Social Statistics, University of Cologne
- 1994 - 1995 „Wissenschaftlicher Assistent“, Department of Economics, Helmut-Schmidt-University Hamburg
- 1994 Promotion (PhD) in Economics (Dr. rer. pol.) (“summa cum laude”), Helmut-Schmidt-University Hamburg, Thesis: “Choquet-Erwartungsnutzen und antizipierter Nutzen - Ein Beitrag zur Entscheidungstheorie bei einem und mehreren Attributen”
- 1989 - 1994 „Wissenschaftlicher Mitarbeiter“ , Department of Economics, Helmut-Schmidt-University Hamburg
- 1988 Diplom (MSc) in Mathematics ( “with distinction”), Technical University Darmstadt
Selected publications
- Exact computation of the halfspace depth (with P. Mozharovskyi), Computational Statistics and Data Analysis 98 (2016), 19–30
- Depth-based runs test for bivariate central symmetry (with C. Ley and D. Paindaveine), Annals of the Institute of Statistical Mathematics 67 (2015), 917 - 941
- Weighted-mean regions of a probability distribution (with K. Mosler). Statistics and Probability Letters 82 (2012), 318 – 325
- Weighted-mean trimming of multivariate data (with K. Mosler). Journal of Multivariate Analysis 102 (2011), 405 – 421
- Data depths satisfying the projection property. Allgemeines Statistisches Archiv 88 (2004), 163 – 190
- Computing zonoid trimmed regions of bivariate data sets. In: COMPSTAT 2000 – Proceedings in Computational Statistics (Bethlehem, J.G., and van der Heijden, P.G.M., eds.). Physica, Heidelberg (2000), 295 – 300
- Zonoid Data Depth: Theory and Computation (with G. Koshevoy and K. Mosler). In: COMPSTAT 1996 – Proceedings in Computational Statistics (Prat, Albert, ed.). Physica, Heidelberg (1996), 235 – 240