PUBLICATIONS
Peter Filzmoser

Books

• K. Varmuza and P. Filzmoser. Introduction to Multivariate Statistical Analysis in Chemometrics. Taylor & Francis - CRC Press, Boca Raton, FL, 2009. ISBN: 9781420059472. INFORMATION
  
• V. Todorov and P. Filzmoser. Multivariate Robust Statistics: Methods and Computation. Südwestdeutscher Verlag für Hochschulschriften, Saarbrücken, 2009. ISBN: 978-3-8381-0814-8.
  
• C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter. Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley & Sons, Chichester, 2008. ISBN: 978-0-470-98581-6 (H/B). INFORMATION
  
• H. Fritz and P. Filzmoser. Plausibility of Databases and the Relation to Imputation Methods. VDM Verlag Dr. Müller, Saarbrücken, 2008. ISBN: 978-3-8364-5992-1.
  
• K. Adel, R. Dutter, H. Filzmoser und P. Filzmoser. Tiefenstrukturen der Sprache: Untersuchung regionaler Unterschiede mit statistischen Methoden. WUV-Universitaetsverlag, Wien, 1994.
  

Papers in Journals and Proceedings Volumes, Editorial work

20??

• A. Alfons, M. Templ, and P. Filzmoser. Robust estimation of economic indicators from survey samples based on Pareto tail modeling. Journal of the Royal Statistical Society, Series A. To appear. PDF-File
  
• M. Brandl, C. Hauzenberger, W. Postl, M.M. Martinez, P. Filzmoser, and G. Trnka. Radiolarite studies at Krems-Wachtberg (Lower Austria): Northern Alpine vs. Carpathian lithic resources. Quaternary International. To appear.
  
• C. Croux, P. Filzmoser, and H. Fritz. Robust sparse principal component analysis. Technometrics. To appear. PDF-File
  
• P. Filzmoser, A. Ruiz-Gazen, and C. Thomas-Agnan. Identification of local multivariate outliers. Statistical Papers. To appear. PDF-File
  
• P. Filzmoser and V. Todorov. Robust methods for the imperfect world. Information Sciences, To appear. PDF-File
  
• K. Hron, P. Filzmoser, S. Donevska, and E. Fiserova. Covariance-based variable selection for compositional data. Mathematical Geosciences. To appear. PDF-File
  
• K. Hron, M. Templ, and P. Filzmoser. Estimation of a proportion in survey sampling using the logratio approach. Metrika. To appear. PDF-File
  
• N. Neykov, P. Filzmoser, and P. Neytchev. Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator. Statistical Papers. To appear.
  
• R. Todeschini, D. Ballabio, V. Consonni, F. Sahigara, and P. Filzmoser. Locally-centred Mahalanobis distance: a new distance measure with salient features towards outlier detection. Analytica Chimica Acta. To appear.

2013

• D. Ballabio, M. Vasighi, and P. Filzmoser. Effects of supervised Self Organising Maps parameters on classification performance. Analytica Chimica Acta, 765, 45-53, 2013.
  
• M. Gschwandtner and P. Filzmoser. Outlier detection in high dimension using regularization. Advances in Intelligent Systems and Computing, 190 AISC, 237-244, 2013.
  
• K. Hron and P. Filzmoser. Robust diagnostics of fuzzy clustering results using the compositional approach. Advances in Intelligent Systems and Computing, 190 AISC, 245-253, 2013.
  
• K. Kalcher, R.N. Boubela, W. Huf, B. Biswal, P. Baldinger, U. Sailer, P. Filzmoser, S. Kasper, C. Lamm, R. Lanzenberger, and E. Moser. RESCALE: Voxel-specific Task-fMRI Scaling Using Resting State Fluctuation Amplitude. NeuroImage, 70, 80-88, 2013.
  
• V. Todorov and P. Filzmoser. Comparing classical and robust sparse PCA. Advances in Intelligent Systems and Computing, 190 AISC, 283-291, 2013.
• K. Varmuza, P. Filzmoser, and M. Dehmer. Multivariate linear QSPR/QSAR models and their evaluation. Computational and Structural Biotechnology Journal, 5 (6), e201302007, 1-10, 2013. PDF-File

2012

• R.N. Boubela, W. Huf, K. Kalcher, R. Stadky, P. Filzmoser, L. Pezawas, S. Kasper, C. Windischberger, and E. Moser. A highly parallelized framework for computationally intensive MR data analysis. Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA), Vol. 25 (4), pp. 313-320, 2012.
  
• P. Filzmoser, M. Gschwandtner, and V. Todorov. Review of sparse methods in regression and classification with application to chemometrics. Journal of Chemometrics, Vol. 26, pp. 42-51, 2012. PDF-File
  
• P. Filzmoser, K. Hron, and C. Reimann. Interpretation of multivariate outliers for compositional data. Computers & Geosciences, Vol. 39, pp. 77-85, 2012. PDF-File
  
• P. Filzmoser, K. Hron, and M. Templ. Discriminant analysis for compositional data and robust parameter estimation. Computational Statistics, Vol. 27(4), pp. 585-604, 2012. PDF-File
  
• H. Fritz, P. Filzmoser, and C. Croux. A comparison of algorithms for the multivariate L1-median. Computational Statistics, Vol. 27, pp. 393-410, 2012. PDF-File
  
• K. Hron, P. Filzmoser, and K. Thompson. Linear regression with compositional explanatory variables. Journal of Applied Statistics, Vol. 39(5), pp.1115-1128, 2012. PDF-File
  
• K. Hron, M. Jelinkova, P. Filzmoser, R. Kreuziger, P. Bednar, P. Bartak. Statistical analysis of wines using a robust compositional biplot. Talanta, Vol. 90, pp. 46-50, 2012.
  
• K. Kalcher, W. Huf, R.N. Boubela, P. Filzmoser, L. Pezawas, B.B. Biswal, S. Kasper, E. Moser, and C. Windischberger. Fully exploratory network independent component analysis of the 1000 functional connectomes database. Frontiers in Human Neuroscience, Vol. 6, pp. 1-34, 2012.
  
• J.A. Martin-Fernandez, K. Hron, M. Templ, P. Filzmoser, and J. Palarea-Albaladejo. Model-based replacement of rounded zeros in compositional data: classical and robust approaches. Computational Statistics and Data Analysis, Vol. 56, pp. 2688-2704. PDF-File
  
• N.M. Neykov, P. Cizek, P. Filzmoser, and P.N. Neytchev. The least trimmed quantile regression. Computational Statistics and Data Analysis. Vol. 56(6), pp. 1757-1770, 2012. PDF-File
  
• N. Neykov, P. Filzmoser, and P. Neytchev. Robust joint modeling of mean and dispersion through trimming. Computational Statistics & Data Analysis, Vol. 56, pp. 34-48, 2012. PDF-File
  
• C. Pascoal, M.R. de Oliveira, R. Valadas, P. Filzmoser, P. Salvador, and A. Pacheco. Robust feature selection and robust PCA for internet traffic anomaly detection. Proceedings of the 31th IEEE International Conference on Computer Communications (IEEE INFOCOM 2012), Orlando, Florida, ISSN 0743-166X, pp. 1755-1763, 2012.
  
• C. Reimann, M. Birke, and P. Filzmoser. Temperature-dependent leaching of chemical elements from mineral water bottle materials. Applied Geochemistry, Vol. 27, pp. 1492-1498, 2012.
  
• C. Reimann, P. Filzmoser, K. Fabian, K. Hron, M. Birke, A. Demtriades, E. Dinelli, A. Ladenberger, and The GEMAS Project Team. The concept of compositional data analysis in practice - Total major element concentrations in agricultural and grazing land soils of Europe. Science of the Total Environment, Vol. 426, pp. 196-210, 2012.
  
• J. Sucharova, I. Suchara, M. Hola, S. Marikova, C. Reimann, R. Boyd, P. Filzmoser, and P. Englmaier. Top-/bottom-soil ratios and enrichment factors: What do they really show? Applied Geochemistry, Vol. 27, pp. 138-145, 2012.
  
• M. Templ, A. Alfons, and P. Filzmoser. Exploring incomplete data using visualization techniques. Advances in Data Analysis and Classification, Vol. 6(1), pp. 29-47, 2012. PDF-File
  
• K. Varmuza, P. Filzmoser, B. Liebmann, and M. Dehmer. Redundancy analysis for characterizing the correlation between groups of variables - applied to molecular descriptors. Chemometrics and Intelligent Laboratory Systems. Vol. 117, pp. 31-41, 2012.

2011

• A. Alfons, W.E. Baaske, P. Filzmoser, W. Mader, and R. Wieser. Robust variable selection with application to quality of life research. Statistical Methods and Applications, Vol. 20, pp. 65-82, 2011. PDF-File
  
• A. Alfons, S. Kraft, M. Templ, and P. Filzmoser. Simulation of close-to-reality population data for household surveys with application to EU-SILC. Statistical Methods and Applications, Vol. 20(3), pp. 383-407, 2011. PDF-File
  
• W. Berger, H. Piringer, P. Filzmoser, and E. Gröller. Unvertainty-aware exploration of continuous parameter spaces using multivariate prediction. Computer Graphics Forum, Vol. 30(3), pp. 911-920, 2011. (Best Paper Award at EuroVis 2011). PDF-File
  
• J.J. Egozcue, J. Daunis-i-Estadella, V. Pawlowsky-Glahn, K. Hron and P. Filzmoser. Simplicial regression. The normal model. Journal of Applied Probability and Statistics, Vol. 6, pp. 87-108, 2011. PDF-File
  
• P. Filzmoser and K. Hron. Robust statistical analysis. In V. Pawlowsky-Glahn and A. Buccianti, editors, Compositional Data Analysis. Theory and Applications, pp. 59-72, John Wiley & Sons, Chichester (UK), 2011.
  
• P. Filzmoser and Yu. Kharin (eds.). Austrian Journal of Statistics, 40(1 & 2), 2011.
  
• P. Filzmoser and V. Todorov. Review of robust multivariate statistical methods in high dimension. Analytica Chimica Acta, Vol. 705, pp. 2-14, 2011. PDF-File
  
• W. Huf, K. Kalcher, G. Pail, M.-E. Friedrich, P. Filzmoser, and S. Kasper. Meta-analysis: Fact or fiction? How to interpret Meta-analyses. The World Journal of Biological Psychiatry, Vol. 12, pp. 188-200, 2011.
  M. Templ, K. Hron, and P. Filzmoser. robCompositions: an R-package for robust statistical analysis of compositional data. In V. Pawlowsky-Glahn and A. Buccianti, editors, Compositional Data Analysis. Theory and Applications, pp. 341-355, John Wiley & Sons, Chichester (UK), 2011.
  
• M. Templ, A. Kowarik, and P. Filzmoser. Iterative stepwise regression imputation using standard and robust methods. Computational Statistics and Data Analysis. Vol. 55, pp. 2793-2806, 2011. PDF-File
  
• A. Sarbu, G.A. Janauer, U. Schmidt-Mumm, P. Filzmoser, D. Smarandache, and G. Pascale. Characterization of the potamal Danube River and the Delta: connectivity determines indicative macrophyte assemblages. Hydrobiologia, Vol. 671, pp. 75-93, 2011.
  
• J. Sucharova, I. Suchara, M. Hola, C. Reimann, R. Boyd, P. Filzmoser, and P. Englmaier. Linking chemical elements in forest floor humus in the Czech Republic to contamination sources. Environmental Pollution, Vol. 159, pp. 1205-1214, 2011.
  
• J. Sucharova, I. Suchara, M. Hola, C. Reimann, R. Boyd, P. Filzmoser, and P. Englmaier. The performance of moss, grass, and 1- and 2-year old spruce needles as bioindicators of contamination: A comparative study at the scale of the Czech Republic. Science of the Total Environment, Vol. 409, pp. 2281-2297, 2011.
  
• J. Sucharova, I. Suchara, M. Hola, C. Reimann, R. Boyd, P. Filzmoser, and P. Englmaier. Spatial distribution of lead and lead isotopes in soil B-horizon, forest-floor humus, grass (Avenella flexuosa) and spruce (Picea abies) needles across the Czech Republic. Applied Geochemistry, Vol. 26, pp. 1205-1214, 2011.
  
• V. Todorov, M. Templ, and P. Filzmoser. Detection of multivariate outliers in business survey data with incomplete information. Advances in Data Analysis and Classification (ADAC). Vol. 5(1), pp. 37--56, 2011. PDF-File
  
• H. Treiblmaier and P. Filzmoser. Benefits from using continuous rating scales in online survey research. Proceedings of the International Conference on Information Systems (ICIS), Shanghai, China, December 4-7, 2011. Association for Information Systems 2011, ISBN 978-0-615-55907-0. Article
  
• C. Turkay, P. Filzmoser, and H. Hauser. Brushing dimensions--A dual visual analysis model for high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, Vol. 17(12), pp. 2591--2599, 2011.
  
• K. Varmuza, C. Engrand, P. Filzmoser, M. Hilchenbach, J. Kissel, H. Krüger, J. Silen, and M. Trieloff. Random projection for dimensionality reduction - Applied to time-of-flight secondary ion mass spectrometry data. Analytica Chimica Acta, Vol. 705, pp. 48-55, 2011.
  

2010

• S. Aivazian, P. Filzmoser, and Yu. Kharin (eds.). Computer Data Analysis and Modeling: Complex Stochastic Data and Systems. Proceedings of the Ninth International Conference, Volume 1, ISBN 978-985-476-847-2. Belarusian State University, Minsk, 2010.
  
• S. Aivazian, P. Filzmoser, and Yu. Kharin (eds.). Computer Data Analysis and Modeling: Complex Stochastic Data and Systems. Proceedings of the Ninth International Conference, Volume 2, ISBN 978-985-476-848-9. Belarusian State University, Minsk, 2010.
  
• A. Alfons, M. Templ, and P. Filzmoser An object-oriented framework for statistical simulation: the R package simFrame. Journal of Statistical Software, Vol. 37(3), pp. 1-36, 2010. PDF-File
  
• A. Alfons, M. Templ, and P. Filzmoser Contamination models in the R package simFrame for statistical simulation. In S. Aivazian, P. Filzmoser, and Yu. Kharin, editors, Proceedings of the Ninth International Conference on Computer Data Analysis and Modeling, volume 2, pp. 178-181, Belarusian State University, Minsk, 2010. PDF-File
  
• A. Alfons, M. Templ, P. Filzmoser, and J. Holzer. A comparison of robust methods for Pareto tail modeling in the case of Laeken indicators. In C. Borgelt, G. Gonzalez-Rodriguez, W. Trutschnig, M.A. Lubiano, M.A. Gil, P. Grzegorzewski, and O. Hryniewicz, editors, Combining Soft Computing and Statistical Methods in Data Analysis, pp. 17-24, Springer-Verlag, Berlin, 2010. PDF-File
  
• K. Böheim, S.-M. Pok, M. Schlögel, and P. Filzmoser. Active middle ear implant compared with open-fit hearing aid in sloping high-frequency sensorineural hearing loss. Otology & Neurotolgy. Vol. 31(3), pp. 424-429, 2010.
  
• P. Filzmoser. Soft methods in robust statistics. In C. Borgelt, G. Gonzalez-Rodriguez, W. Trutschnig, M.A. Lubiano, M.A. Gil, P. Grzegorzewski, and O. Hryniewicz, editors, Combining Soft Computing and Statistical Methods in Data Analysis, pp. 273-280, Springer-Verlag, Berlin, 2010. PDF-File
  
• P. Filzmoser and K. Hron Multivariate outlier detection with compositional data. In S. Aivazian, P. Filzmoser, and Yu. Kharin, editors, Proceedings of the Ninth International Conference on Computer Data Analysis and Modeling, volume 1, pp. 45-52, Belarusian State University, Minsk, 2010. PDF-File
  
• P. Filzmoser and K. Hron. Robust multivariate methods for compositional data. In Y. Lechevallier and G. Saporta, editors, COMPSTAT 2010 - Proceedings in Computational Statistics, pp. 79-88, Springer-Verlag, Berlin, 2010. PDF-File
  
• P. Filzmoser, K. Hron, and C. Reimann. The bivariate statistical analysis of environmental (compositional) data. Science of the Total Environment, Vol. 408, pp. 4230-4238, 2010. PDF-File
  
• K. Hron and P. Filzmoser. Elements of robust regression for data with absolute and relative information. In C. Borgelt, G. Gonzalez-Rodriguez, W. Trutschnig, M.A. Lubiano, M.A. Gil, P. Grzegorzewski, and O. Hryniewicz, editors, Combining Soft Computing and Statistical Methods in Data Analysis, pp. 329-335, Springer-Verlag, Berlin, 2010. PDF-File
  
• K. Hron, M. Templ, and P. Filzmoser Exploratory compositional data analysis using the R-package robCompositions. In S. Aivazian, P. Filzmoser, and Yu. Kharin, editors, Proceedings of the Ninth International Conference on Computer Data Analysis and Modeling, volume 1, pp. 179-186, Belarusian State University, Minsk, 2010. PDF-File
  
• K. Hron, M. Templ, and P. Filzmoser. Imputation of missing values for compositional data using classical and robust methods. Computational Statistics and Data Analysis, Vol. 54, pp. 3095-3107, 2010. PDF-File
  
• Z. Karacsony and P. Filzmoser. Asymptotic normality of kernel type regression estimators for random fields. Journal of Statistical Planning and Inference, Vol. 140, pp. 872-886, 2010. PDF-File
  
• J. Kehrer, P. Filzmoser, and H. Hauser. Brushing moments in interactive visual analysis. Computer Graphics Forum, Vol. 29(3), pp. 813-822, 2010. PDF-File
  
• B. Liebmann, P. Filzmoser, and K. Varmuza. Robust and classical PLS regression compared. Journal of Chemometrics, Vol. 24, pp. 111-120, 2010. PDF-File
  
• C. Reimann, M. Birke, and P. Filzmoser. Bottled drinking water: water contamination from bottle materials (glass, soft PET, hard PET), the influence of colour and acidification. Applied Geochemistry. Vol. 25, pp. 1030-1046, 2010. PDF-File
  
• C. Reimann, M. Birke, and P. Filzmoser. Reply to the comment "Bottled drinking water: water contamination from bottle materials (glass, hard PET, soft PET), the influence of colour and acidification" by Hayo Müller-Simon. Applied Geochemistry. Vol. 25, pp. 1464-1465, 2010. PDF-File
  
• V. Todorov and P. Filzmoser. Robust statistic for the one-way MANOVA. Computational Statistics and Data Analysis, Vol. 54, pp. 37-48, 2010. PDF-File
  
• H. Treiblmaier and P. Filzmoser. Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research. Information and Management, Vol. 47, 197-207, 2010.
  
• K. Varmuza, P. Filzmoser, and B. Liebmann. Random projection experiments with chemometric data. Journal of Chemometrics, Vol. 24, pp. 209-217, 2010. PDF-File
  

2009

• W.E. Baaske, P. Filzmoser, W. Mader, and R. Wieser. Agriculture as a success factor for municipalities. H. Peyerl, editor, Jahrbuch der Österreichischen Gesellschaft für Agrarökonomie Vol. 18(1), pp. 21-30, Facultas Verlag, Wien, 2009. PDF-File
  
• P. Filzmoser. Discussion of "Invariant co-ordinate selection," by D.E. Tyler, F. Critchley, L. Dümbgen, H. Oja. Journal of the Royal Statistical Society B, Vol. 71(3), p. 583, 2009.
  
• P. Filzmoser, K. Hron. Correlation analysis for compositional data. Mathematical Geosciences, Vol. 41, pp. 905-919, 2009. PDF-File
  
• P. Filzmoser, K. Hron, and C. Reimann. Univariate statistical analysis of environmental (compositional) data: Problems and possibilities. Science of the Total Environment, Vol. 407, pp. 6100-6108, 2009. PDF-File
  
• P. Filzmoser, K. Hron, and C. Reimann. Principal component analysis for compositional data with outliers. Environmetrics, PDF-File Vol. 20, pp. 621-632, 2009.
  
• P. Filzmoser, K. Hron, C. Reimann, and R.G. Garrett. Robust factor analysis for compositional data. Computers and Geosciences, Vol. 35, pp. 1854-1861, 2009. PDF-File
  
• P. Filzmoser, B. Liebmann, and K. Varmuza. Repeated double cross validation. Journal of Chemometrics, Vol. 23(4), pp. 160-171, 2009. PDF-File
  
• P. Filzmoser, S. Serneels, R. Maronna, and P.J. Van Espen. Robust multivariate methods in chemometrics. In B. Walczak, R.T. Ferre, and S. Brown, editors, Comprehensive Chemometrics, 2009, pp. 681-722. PDF-File
  
• C. Reimann, A. Demetriades, O.A. Eggen, P. Filzmoser and the EuroGeoSurveys Geochemistry expert group. The EuroGeoSurveys geochemical mapping of agricultural and grazing land soils project (GEMAS) - Evaluation of quality control results of aqua regia extraction analysis. Technical Report 2009.049, Geological Survey of Norway (NGU), Trondheim, Norway, 2009. PDF-File
  
• V. Todorov and P. Filzmoser. An object oriented framework for robust multivariate analysis. Journal of Statistical Software, Vol. 32(3), pp. 1-47, 2009. PDF-File
  

2008

• C. Croux, P. Filzmoser, and K. Joossens. Classification efficiencies for robust linear discriminant analysis. Statistica Sinica, Vol. 18, pp. 581-599, 2008. PDF-File
  
• R. Dutter, P. Filzmoser, and Yu. Kharin (eds.). Austrian Journal of Statistics, 37(1), 2008.
  
• P. Filzmoser and K. Hron. Outlier detection for compositional data using robust methods. Mathematical Geosciences, Vol. 40(3), pp. 233-248, 2008. PDF-File
  
• P. Filzmoser, R. Maronna, and M. Werner. Outlier identification in high dimensions. Computational Statistics and Data Analysis, Vol. 52, pp. 1694-1711, 2008. PDF-File
  
• M. Templ, P. Filzmoser, and C. Reimann. Cluster analysis applied to regional geochemical data: Problems and possibilities. Applied Geochemistry, Vol. 23(8), pp. 2198-2213, 2008.
  
• A. Weisser, G. Endel, P. Filzmoser, and M. Gyimesi. ATC -> ICD - evaluating the reliability of prognoses for ICD-10 diagnoses derived from the ATC-Code of prescriptions. BMC Health Services Research, Vol. 8(Suppl I):A10, 2008. PDF-File
  

2007

• S. Aivazian, P. Filzmoser, and Yu. Kharin (eds.). Computer Data Analysis and Modeling: Complex Stochastic Data and Systems. Proceedings of the Eighth International Conference, Volume 1, ISBN 978-985-476-508-2. Belarusian State University, Minsk, 2007.
  
• S. Aivazian, P. Filzmoser, and Yu. Kharin (eds.). Computer Data Analysis and Modeling: Complex Stochastic Data and Systems. Proceedings of the Eighth International Conference, Volume 2, ISBN 978-985-476-505-1. Belarusian State University, Minsk, 2007.
  
• C. Croux and P. Filzmoser. Discussion of "A Survey of Robust Statistics," by S. Morgenthaler. Statistical Methods and Applications, Vol. 15(3), pp. 271-293, 2007. PDF-File
  
• C. Croux, P. Filzmoser, and M.R. Oliveira. Algorithms for projection-pursuit robust principal component analysis. Chemometrics and Intelligent Laboratory Systems, Vol. 87, pp. 218-225, 2007. PDF-File
  
• P. Filzmoser and H. Fritz Exploring high-dimensional data with robust principal components. In S. Aivazian, P. Filzmoser, and Yu. Kharin, editors, Proceedings of the Eighth International Conference on Computer Data Analysis and Modeling, volume 1, pp. 43-50, Belarusian State University, Minsk, 2007. PDF-File
  
• N. Neykov, P. Filzmoser, R. Dimova, and P. Neytchev. Robust fitting of mixtures using the trimmed likelihood estimator. Computational Statistics and Data Analysis, Vol. 17(3), pp. 299-308, 2007. PDF-File
  
• C. Reimann, A. Arnoldussen, P. Englmaier, P. Filzmoser, T.E. Finne, R.G. Garrett, F. Koller, and Ø. Nordgulen. Element concentrations and variations along a 120-km transect in southern Norway - Anthropogenic vs. geogenic vs. biogenic element sources and cycles. Applied Geochemistry, Vol. 22, pp. 851-871, 2007. PDF-File
  

2006

• I. Fazekas and P. Filzmoser. A functional central limit theorem for kernel type density estimators. Austrian Journal of Statistics, Vol. 35(4), pp. 409-418, 2006. PDF-File
  
• P. Filzmoser, K. Joossens, and C. Croux. Multiple group linear discriminant analysis: Robustness and error rate. In A. Rizzi and M. Vichi, editors, COMPSTAT 2006 - Proceedings in Computational Statistics, pp. 521-532, Physica-Verlag, Heidelberg, 2006. PDF-File
  
• P. Filzmoser, S. Serneels, C. Croux, and P.J. Van Espen. Robust multivariate methods: The projection pursuit approach. In M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, and W. Gaul, editors, From Data and Information Analysis to Knowledge Engineering, pp. 270-277, Springer Verlag, Berlin, 2006. PDF-File
  
• G.A. Janauer, P. Filzmoser, H. Otahelova, A. Gaberscik, J. Topic, A. Berczik, R. Igic, V. Vulchev, A. Sarbu, A. Kohler, and N. Exler. Macrophyte Habitat Preference, River Restoration, and the WFD: making use of the MIDCC data base. In Proceedings 36th International Conference of IAD, pp. 81-85, Austrian Committee Danube Research/IAD, Vienna. ISBN 13:978-3-9500723-2-7, 2006. PDF-File
  
• G.A. Janauer, E. Lanz, P. Filzmoser, and N. Exler. Breg and Brigach, source streams of the Danube: changes based on macrophyte surveys 1967, 1989, and 2004. In Proceedings 36th International Conference of IAD, pp. 86-90, Austrian Committee Danube Research/IAD, Vienna. ISBN 13:978-3-9500723-2-7, 2006. PDF-File
  
• A. Sarbu, G. Janauer, N. Exler, and P. Filzmoser. The aquatic vegetation of large Danube river branches in Romania. In Proceedings 36th International Conference of IAD, pp. 101-106, Austrian Committee Danube Research/IAD, Vienna. ISBN 13:978-3-9500723-2-7, 2006. PDF-File
  
• B. Richter, M. Gwechenberger, P. Filzmoser, M. Marx, P. Lercher, and H.D. Gössi nger. Is inducibility of atrial fibrillation after radio frequency ablation really a relevant prognostic factor? European Heart Journal, Vol. 27, pp. 2553-2559, 2006. html-File
  
• S. Serneels, C. Croux, P. Filzmoser, and P.J. Van Espen. The partial robust M approach. In M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, and W. Gaul, editors, From Data and Information Analysis to Knowledge Engineering, pp. 230-237, Springer Verlag, Berlin, 2006. PDF-File
  
• D. Zick, H. Gassner, P. Filzmoser, J. Wanzenböck, B. Pamminger-Lahnsteiner, and G. Tischler. Changes in the fish species composition of all Austrian lakes >50 ha during the last 150 years. Fisheries Management and Ecology, Vol. 13, pp. 103-111, 2006. PDF-File
  Article in Science for Environment Policy from the European Commission: PDF-File

2005

• J.A. Branco, C. Croux, P. Filzmoser, and M.R. Oliveira. Robust canonical correlations: a comparative study. Computational Statistics, Vol. 20(2), pp. 203-229, 2005. PDF-File
  
• R. Dutter, P. Filzmoser, and Yu. Kharin (eds.). Austrian Journal of Statistics, 34(2), 2005.
  
• P. Filzmoser. Identification of multivariate outliers: a performance study. Austrian Journal of Statistics, Vol. 34(2), pp. 127-138, 2005. PDF-File
  
• P. Filzmoser, C. Reimann, and R.G. Garrett. Multivariate outlier detection in exploration geochemistry. Computers and Geosciences, Vol. 31, pp. 579-587, 2005. PDF-File
  
• P.J. van Helvoort, P. Filzmoser, and P.F.M. van Gaans. Sequential factor analysis as a new approach to multivariate analysis of heterogeneous geochemical datasets: an application to a bulk chemical characterization of fluvial deposits (Rhine-Meuse delta, The Netherlands). Applied Geochemistry, Vol. 20, pp. 2233-2251, 2005. PDF-File
  
• C. Reimann, P. Filzmoser, and R.G. Garrett. Background and threshold: critical comparison of methods of determination. Science of the Total Environment, Vol. 346, pp. 1-16, 2005. PDF-File
  
• S. Serneels, C. Croux, P. Filzmoser, and P.J. Van Espen. Partial robust M-regression. Chemometrics and Intelligent Laboratory Systems, Vol. 79(1-2), pp. 55-64, 2005. PDF-File
  
• S. Serneels, P. Filzmoser, C. Croux, and P.J. Van Espen. Robust continuum regression. Chemometrics and Intelligent Laboratory Systems, Vol. 76(2), pp. 197-204, 2005. PDF-File
  

2004

• S. Aivazian, P. Filzmoser, and Yu. Kharin (eds.). Computer Data Analysis and Modeling: Robustness and Computer Intensive Methods. Proceedings of the Seventh International Conference, Volume 1, ISBN 985-445-492-4. Belarusian State University, Minsk, 2004.
  
• S. Aivazian, P. Filzmoser, and Yu. Kharin (eds.). Computer Data Analysis and Modeling: Robustness and Computer Intensive Methods. Proceedings of the Seventh International Conference, Volume 2, ISBN 985-445-492-4. Belarusian State University, Minsk, 2004.
  
• P. Filzmoser. A multivariate outlier detection method. In S. Aivazian, P. Filzmoser, and Yu. Kharin, editors, Proceedings of the Seventh International Conference on Computer Data Analysis and Modeling, volume 1, pp. 18-22, Belarusian State University, Minsk, 2004. PDF-File
  
• P. Filzmoser and R. Viertl. Testing hypotheses with fuzzy data: The fuzzy p-value. Metrika, Vol. 59, No. 1, pp. 21-29, 2004. PDF-File
  
• N. Neykov, P. Filzmoser, R. Dimova, and P. Neytchev. Mixture of GLMs and the trimmed likelihood methodology. In J. Antoch, editor, COMPSTAT, Proceedings in Computational Statistics, pp. 1585-1592, Physica-Verlag, Heidelberg, 2004. PDF-File PS-File
  
• M.R. Oliveira, J.A. Branco, C. Croux, and P. Filzmoser. Robust redundancy analysis by alternating regression. In M. Hubert, G. Pison, A. Struyf and S. Van Aelst, editors, Theory and Applications of Recent Robust Methods, Series: Statistics for Industry and Technology, pp. 235-246, Birkhauser, Basel, 2004. PDF-File
  

2003

• C. Croux, P. Filzmoser, G. Pison, and P.J. Rousseeuw. Fitting multiplicative models by robust alternating regressions. Statistics and Computing, Vol. 13, pp. 23-36, 2003. PDF-File PS-File
  
• R. Dutter, P. Filzmoser, U. Gather, and P.J. Rousseeuw (eds.). Developments in Robust Statistics. International Conference on Robust Statistics 2001. Physica-Verlag, Heidelberg, 2003.
  
• P. Filzmoser and C. Croux. Dimension reduction of the explanatory variables in multiple linear regression. Pliska Stud. Math. Bulgar., Vol. 14, pp. 59-70, 2003. PDF-File PS-File
  
• P. Filzmoser, G.A. Janauer, and N. Exler. A statistical method for finding indicators of water quality. In M. Ruoppa, P. Heinonen, A. Pilke, S. Rekolainen, H. Toivonen, and H. Vuoristo, editors, How to Assess and Monitor Ecological Quality in Freshwaters, pp. 19-23, Nordic Council of Ministers, Copenhagen, 2003.
  
• G. Pison, P.J. Rousseeuw, P. Filzmoser, and C. Croux. Robust factor analysis. Journal of Multivariate Analysis, Vol. 84, pp. 145-172, 2003. PDF-File
  

2002

• R. Dutter, P. Filzmoser, U. Gather, and P.J. Rousseeuw (eds.). Metrika, 55(1), 2002.
  
• R. Dutter, P. Filzmoser, U. Gather, and P.J. Rousseeuw (eds.). Metrika, 55(2), 2002.
  P. Filzmoser. Robust factor analysis: methods and applications. In G.A. Marcoulides and I. Moustaki, editors, Latent Variable and Latent Structure Models, pp. 153-194, Lawrence Erlbaum Associates, Mahwah (New Jersey), 2002.
  
• P. Filzmoser and C. Croux. A projection algorithm for regression with collinearity. In K. Jajuga, A. Sokolowski, and H.-H. Bock, editors, Classification, Clustering, and Data Analysis, pp. 227-234, Springer-Verlag, Berlin, 2002. PDF-File
  
• P. Filzmoser and C. Reimann. Robust multivariate methods in geostatistics. In W. Gaul and G. Ritter, editors, Classification, Automation, and New Media, pp. 429-436, Springer-Verlag, Berlin, 2002. PDF-File
  
• P. Filzmoser and P.J. Rousseeuw. Robust statistics. The Encyclopedia of Life Support Systems. EOLSS Publishers, Oxford, UK. http://www.eolss.net
  
• C. Reimann, P. Filzmoser, and R.G. Garrett. Factor analysis applied to regional geochemical data: problems and possibilities. Applied Geochemistry. Vol. 17, pp. 185-206, 2002. PDF-File
  

2001

• P. Filzmoser Robust principal component regression. In S. Aivazian, Y. Kharin, and H. Rieder, editors, Proceedings of the Sixth International Conference on Computer Data Analysis and Modeling, Vol. 1, pp. 132-137, Minsk, Belarus, 2001. PDF-File PS-File
  
• C. Reimann, H. Niskavaara, G. Kashulina, P. Filzmoser, R. Boyd, T. Volden, O. Tomilina, and I. Bogatyrev. Critical remarks on the use of terrestrial moss (Hylocomium splendens and Pleurozium schreberi) for monitoring of airborne pollution. Environmental Pollution, Vol. 113(1), pp. 41-57, 2001. PDF-File
  
• P. Filzmoser. Orthogonal principal planes. Psychometrika, Vol. 65(3), pp. 363-376, 2000. PDF-File PS-File
  
• P. Filzmoser, C. Dehon and C. Croux. Outlier resistant estimators for canonical correlation analysis. In J.G. Betlehem and P.G.M. van der Heijden, editors, COMPSTAT, Proceedings in Computational Statistics, pp. 301-306, Physica-Verlag, Heidelberg, 2000. PDF-File PS-File
  
• G. Pison, P.J. Rousseeuw, P. Filzmoser, and C. Croux. A robust version of principal factor analysis. In J.G. Betlehem and P.G.M. van der Heijden, editors, COMPSTAT, Proceedings in Computational Statistics, pp. 385-390, Physica-Verlag, Heidelberg, 2000. PDF-File PS-File
  
• C. Reimann and P. Filzmoser. Normal and lognormal data distribution in geochemistry: Death of a myth. Consequences for the statistical treatment of geochemical and environmental data. Environmental Geology, Vol. 39(9), pp. 1001-1014, 2000. PDF-File
  

1999

• P. Filzmoser. Robust principal component and factor analysis in the geostatistical treatment of environmental data. Environmetrics, Vol. 10, pp. 363-375, 1999 PS-File
  
• P. Filzmoser, R. Baumgartner, E. Moser. A hierarchical clustering method for analyzing functional MR images. Magnetic Resonance Imaging, Vol. 17, pp. 817-826, 1999. PDF-File
  
• P. Filzmoser, C. Croux, G. Pison and P.J. Rousseeuw. Robust estimation in the factor analysis model. In H. Friedl, A. Berghold, and G. Kauermann, editors, Proceedings of the 14th International Workshop on Statistical Modelling, pp. 513-515, Graz, Austria, 1999.
  

1998

• C. Croux and P. Filzmoser. Robust factorization of a data matrix. In R. Payne and P. Green, editors, COMPSTAT, Proceedings in Computational Statistics, pp. 245-249, Physica-Verlag, Heidelberg, 1998. PDF-File PS-File
  
• C. Croux and P. Filzmoser. A robust biplot representation of two-way tables. In A. Rizzi, M. Vichi, and H.-H. Bock, editors, Advances in Data Science and Classification, pp. 355-361, Springer-Verlag, Berlin, 1998. Zipped PS-File
  
• P. Filzmoser. The usage of robust multivariate methods in combination with geostatistical tools. In A. Buccianti, G. Nardi, and R. Potenza, editors, Proceedings of IAMG'98, pages 415-420, De Frede, Naples, Italy, 1998.
  
• P. Filzmoser. Generalized principal planes. In K. Fernandez-Aguirre and A. Morineau, editors, Analyses Multidimensionelles des Donnees, IV Congres International NGUS'97, pp. 87-100, Cisia-Ceresta, Saint-Mande, 1998. PDF-File PS-File
  
• P. Filzmoser, R. Baumgartner, and E. Moser. A split and merge algorithm for analyzing functional MR images. Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA), Vol. 6, Suppl. 1, pp. 90-91, 1998.
  

1997

• K. Böheim, A. Nahler, H. Schlögel und P. Filzmoser. Ergebnisse mit Goldpistons bei der Stapedektomie mit kleiner Fensterung. Otorhinolaryngol Nova, Vol. 7, pp. 235-240, 1997.
  
• P. Filzmoser. Finding structures of interest in a large data set using factor analysis. Austrian Journal of Statistics, Vol. 26(2), pp. 27-34, 1997. PDF-File PS-File
  
• P. Filzmoser. Investigation of the Language in Germany and Austria Using Statistical Methods. In R. Klar and O.Opitz, editors, Classification and Knowledge Organization, pages 658-660, Heidelberg, 1997. Springer-Verlag.
  
• C. Kollmann, P. Filzmoser, W. Backfrieder und H. Bergmann. Ein automatisiertes Verfahren zur Segmentierung der Farbinformation von amplitudenkodierten Ultraschall-Farbdopplergeräten (AKDS). In K. Beckh et al., editors, Ultraschall in der Medizin, Seite 79, Stuttgart, 1997. Georg Thieme Verlag.