Wiedner Hauptstrasse 8-10
1040 Vienna, AUSTRIA
Phone: +43 1 58801 10560
Fax: +43 1 58801 105699
E-mail: P.Filzmoser(at)

Ao. Univ.-Prof. Dipl.-Ing. Dr.techn.

Peter Filzmoser

Head of research unit Computational Statistics
Institute of Statistics and Mathematical Methods in Economics
Vienna University of Technology


Statistics 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.

Information for Students

We do our best because we like to see Happy Students!

Office hour(s): Wednesday 11-12, or personal appointments via email.

Klassifikation und Diskriminanzanalyse (107.386)

Multivariate Statistik (107.388, 107.391)