Peter Filzmoser
Address:

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

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


A personal web page can be fancy and informative. This is an attempt of being informative.
About myself: I am a statistics professor at TU Wien (with the above information, this might have been your guess). This institution provides access to many clever students, and to very interesting applications. Working with those students (of course also with the "normal" ones) in various application areas has stimulated my research a lot. My main research interests are in Robust Statistics and in Compositional Data Analysis - both fields are very useful in practice. Below is some more information on my research activities.
My non-professional life is rather nonprofessional: As an amateur, I am conductor of a choir, although they would have deserved having a professional one. I like running, and some time ago I also joined some competitions. I usually was on rank two, however, with respect to the female ranking. Well, and I love my family - and most of the time it is also the other way around.

News

Job announcements: PhD positions, positions as statistician or data scientist; see here

Books

Applied Compositional Data Analysis. With Worked Examples in R.
by P. Filzmoser, K. Hron, and M. Templ.
Springer Series in Statistics. Springer, Switzerland, 2018.
ISBN: 978-3-319-96422-5.
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:
Data Science, Statistics and Visualisation (DSSV 2022) June 27-29, 2022, Tainan, Taiwan
9th International Workshop on Compositional Data Analysis (CoDaWork 2022) June 28 - July 1, 2022, Toulouse, France
International Conference on Robust Statistics (ICORS 2022) July 5-10, 2022, Waterloo, Canada
17th conference of the International Federation of Classification Societies (IFCS 2022) July 19-23, 2022, Porto, Portugal
24th International Conference on Computational Statistics (Compstat 2022) August 23-26, 2022, Bologna, Italy
10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022) September 14-16, 2022, Valladolid, Spain

Research

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 (publications, presentations,...)

Programs Data sets

Past organized scientific events:
International Conference on Robust Statistics (ICORS 2021) September 20-24, 2021, Vienna, Austria
2nd Workshop Mountain Village Science Series (MOVISS 2018) September 9-12, 2018, Vorau, Austria
2nd International Conference on Data Science, Statistics & Visualisation (DSSV 2018), July 9-11, 2018, Vienna, Austria
Mountain Village Science Series (MOVISS), September 21-24, 2017, Vorau, Austria
R Summer School, September 25-27, 2017, Vorau, Austria
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).

Lectures

List of lectures where I am involved in: see TISS

More detailed information on some courses and exercises is provided at TUWEL.

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.



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