Wiedner Hauptstrasse 8-10
1040 Vienna, AUSTRIA
Phone: +43 1 58801 10560
Fax: +43 1 58801 105699
Ao. Univ.-Prof. Dipl.-Ing. Dr.techn.
Peter FilzmoserHead of research unit Computational Statistics
Institute of Statistics and Mathematical Methods in Economics
Vienna University of Technology
is like a puzzle: you must put the
right things together.
Statistical Data Analysis Explained. Applied Environmental Statistics with R
(C. Reimann, P. Filzmoser, R.G. Garrett, R. Dutter), Wiley, Chichester, 2008. ISBN: 9781420059472.
Introduction to Multivariate Statistical Analysis in Chemometrics
by Kurt Varmuza and Peter Filzmoser, Taylor & Francis - CRC-Press, Boca Raton, FL, 2009. ISBN: 978-0-470-98581-6.
Some interesting conferences and workshops:
The 7th International Workshop on Compositional Data Analysis (CoDaWork 2017), June 5-9, 2017, Abbadia San Salvatore, Italy
International Conference on Robust Statistics (ICORS 2017), July 3-7, 2017, Wollongong, Australia
Mountain Village Science Series (MOVISS), September 21-24, 2017, Vorau, Austria
My research interests include Robust Statistics, Multivariate Analysis,
Compositional Data Analysis, Geostatistics, and many more.
Here is my complete CV.
List of Publications (Reprints and Preprints)
List of Scientific activities since 2002 (publications, presentations,...)
Programs Data sets
Past organized scientific events:
IASC-ERS Summer School on R, Sep 23-27, 2013, Vorau, Austria.
Workshop on Compositional Data Analysis (CoDaWork 2013), June 3-7, 2013, Vorau, Austria.
Statistische Woche / Statistical Week 2012 in Vienna, Austria (Sep 18-21, 2012). 520 participants!
Workshop on Robustness for High-dimensional Data (RobHD 2004) in Vorau, Austria (May 5-8, 2004).
International Conference on Robust Statistics (ICORS 2001) in Vorau, Austria (July 23-27, 2001).
List of lectures where I am involved in: see TISS
For more detailed information on some courses and exercises see below.
Wednesday 11-12, or personal appointments via email.
Klassifikation und Diskriminanzanalyse (107.386)
Multivariate Statistik (107.388, 107.391)