Dr. Matthias Templ

ZHAW School of Engineering
Forschungsschwerpunkt Data Analysis and Statistics
Rosenstrasse 3
8400 Winterthur

+41 (0) 58 934 78 07
matthias.templ@zhaw.ch

Personal profile

Position at the ZHAW

www.idp.zhaw.ch

Membership of networks

Projects

Smart-Meter Datenanonymisierung / Project leader / Project completed
Bessere De-Identifizierung durch statistische Anonymisierung für Gesundheitsdaten der malawischen Bevölkerung / Project leader / Project completed
Datenanonymisierung für die SBB / Project leader / Project completed
Evaluierung der Daten-Anonymisierung bei Swisscom / Project leader / Project completed
Anonymisierung von Daten der Helsana Gesundheitswissenschaften / Project leader / Project completed
Stundenaufwandsschätzung von Projekten von Architekten, Landschaftsarchitekten, Ingenieuren und Gebäudetechniker / Project leader / Project completed
CoDa Buch / Project leader / Project completed
Interaktives, automatisches Feedbacksystem für den Praktikumsunterricht in der Datenanalyse / Project leader / Project completed
Erhebung zur Honorarberechnung für Architekten, Landschaftsarchitekten, Ingenieuren und Gebäudetechniker / Project leader / Project completed
Entwicklung eines stationsungebundenen E-Bike-Sharing-Services mit Nutzer-Coproduction / Team member / Project completed

Publications

Articles in scientific journal, peer-reviewed

Templ, Matthias; Templ, Barbara,

2021.

Statistical analysis of chemical element compositions in Food Science : problems and possibilities.

Molecules.

26(19), pp. 5752.

Available from: https://doi.org/10.3390/molecules26195752
Templ, Barbara; Templ, Matthias; Barbieri, Roberto; Meier, Michael; Zufferey, Vivan,

2021.

Coincidence of temperature extremes and phenological events of grapevines.

Oeno One.

55(1), pp. 367-383.

Available from: https://doi.org/10.20870/oeno-one.2021.55.1.3187
Lubbe, Sugnet; Filzmoser, Peter; Templ, Matthias,

2021.

Comparison of zero replacement strategies for compositional data with large numbers of zeros.

Chemometrics and Intelligent Laboratory Systems.

210(104248).

Available from: https://doi.org/10.1016/j.chemolab.2021.104248
Templ, Matthias; Heitz, Christoph,

2020.

Fleet management in free-floating bike sharing systems using predictive modelling and explorative tools.

Austrian Journal of Statistics.

49(2), pp. 53-69.

Available from: https://doi.org/10.17713/ajs.v49i2.1114
Templ, Matthias; Templ, Barbara,

2020.

Analysis of chemical compounds in beverages : guidance for establishing a compositional analysis.

Food Chemistry.

325(126755).

Available from: https://doi.org/10.1016/j.foodchem.2020.126755
Rosadi, Dedi; Setiawan, Ezra Putranda; Templ, Matthias; Filzmoser, Peter,

2020.

Robust covariance estimators for mean-variance portfolio optimization with transaction lots.

Operations Research Perspectives.

7(100154).

Available from: https://doi.org/10.1016/j.orp.2020.100154
Templ, Matthias; Gussenbauer, J.; Filzmoser, P.,

2019.

Evaluation of robust outlier detection methods for zero-inflated complex data.

Journal of Applied Statistics.

47(7), pp. 1144-1167.

Available from: https://doi.org/10.1080/02664763.2019.1671961
Meindl, Bernhard; Templ, Matthias,

2019.

Feedback-based integration of the whole process of data anonymization in a graphical interface.

Algorithms.

12(9), pp. 191.

Available from: https://doi.org/10.3390/a12090191
Templ, Barbara; Mozes, Edina; Templ, Matthias; Földesi, Rita; Szirák, Ádám; Báldi, András; Kovács-Hostyánszki, Anikó,

2019.

Habitat-dependency of transect walk and pan trap methods for bee sampling in farmlands.

Journal of Apicultural Science.

63(1), pp. 93-115.

Available from: https://doi.org/10.2478/JAS-2019-0014
Kreutzmann, Ann-Kristin; Pannier, Sören; Rojas-Perilla, Natalia; Schmid, Timo; Templ, Matthias; Tzavidis, Nikos,

2019.

The R package emdi for estimating and mapping regionally disaggregated indicators.

Journal of Statistical Software.

91(7).

Available from: https://doi.org/10.18637/jss.v091.i07
Fačevicová, Kamila; Hron, Karel; Todorov, Valentin; Templ, Matthias,

2018.

General approach to coordinate representation of compositional tables.

Scandinavian Journal of Statistics.

Available from: https://doi.org/10.1111/sjos.12326
Chen, Jiajia; Zhang, Xiaoqin; Hron, Karel; Templ, Matthias; Li, Shengjia,

2018.

Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional data.

Journal of Applied Statistics.

45(11), pp. 2067-2080.

Available from: https://doi.org/10.1080/02664763.2017.1410524
Templ, Barbara; Templ, Matthias; Filzmoser, Peter; Lehoczky, Annamária; Bakšienè, Eugenija; Fleck, Stefan; Gregow, Hilppa; Hodzic, Sabina; Kalvane, Gunta; Kubin, Eero; Palm, Vello; Romanovskaja, Danuta; Vucˇetic´, Višnja; žust, Ana; Czúcz, Bálint,

2017.

Phenological patterns of flowering across biogeographical regions of Europe.

International Journal of Biometeorology.

61(7), pp. 1347-1358.

Available from: https://doi.org/10.1007/s00484-017-1312-6
Templ, Matthias; Meindl, Bernhard; Kowarik, Alexander; Dupriez, Olivier,

2017.

Simulation of synthetic complex data: The R package simPop.

Journal of Statistical Software.

79(10), pp. 1-38.

Available from: https://doi.org/10.18637/jss.v079.i10
Templ, Barbara; Fleck, Stefan; Templ, Matthias,

2016.

Change of plant phenophases explained by survival modeling.

International Journal of Biometeorology.

61(5), pp. 881-889.

Available from: https://doi.org/10.1007/s00484-016-1267-z
Fačevicová, Kamila; Hron, Karel; Todorov, Valentin; Templ, Matthias,

2016.

Compositional Tables Analysis in Coordinates.

Scandinavian Journal of Statistics.

pp. 962-977.

Available from: https://doi.org/10.1111/sjos.12223
Friedl, Herwig; Templ, Matthias,

2016.

Die Theorie lebt in der Praxis : ein Interview mit Ernst Stadlober.

Austrian Journal of Statistics.

45(2), pp. 69-80.

Available from: https://doi.org/10.17713/ajs.v45i2.303
Templ, Matthias; Hron, K.; Filzmoser, P.,

2016.

Exploratory tools for outlier detection in compositional data with structural zeros.

Journal of Applied Statistics.

44(4), pp. 734-752.

Available from: https://doi.org/10.1080/02664763.2016.1182135
Templ, Matthias; Hron, Karel; Filzmoser, Peter; Gardlo, Alžbӗta,

2016.

Imputation of rounded zeros for high-dimensional compositional data.

Chemometrics and Intelligent Laboratory Systems.

2016(155), pp. 183-190.

Available from: https://doi.org/10.1016/j.chemolab.2016.04.011
Kowarik, Alexander; Templ, Matthias,

2016.

Imputation with the R Package VIM.

Journal of Statistical Software.

74(7), pp. 1-16.

Available from: https://doi.org/10.18637/jss.v074.i07
Huber, J.; Pötsch, B.; Gantschacher, M.; Templ, Matthias,

2016.

Routine treatment of cervical cytological cell changes.

Geburtshilfe und Frauenheilkunde.

76(10), pp. 1086-1091.

Available from: https://doi.org/10.1055/s-0042-105286

Books and monographs, peer-reviewed

Filzmoser, Peter; Hron, Karel; Templ, Matthias,

2018.

Applied compositional data analysis : with worked examples in R.

1. Auflage.

Cham:

Springer.

Springer Series in Statistics (SSS).

ISBN 978-3-319-96420-1.

Available from: https://doi.org/10.1007/978-3-319-96422-5
Templ, Matthias,

2017.

Statistical disclosure control for microdata : methods and applications in R.

Springer.

ISBN 978-3-319-50270-0.

Available from: https://doi.org/10.1007/978-3-319-50272-4

Book parts, peer-reviewed

Templ, Matthias,

2021.

Artificial neural networks to impute rounded zeros in compositional data

.

In:

Filzmoser, Peter; Hron, Karel; Martín-Fernández, Josep Antoni; Palarea-Albaladejo, Javier, eds.,

Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn.

Cham:

Springer.

pp. 163-187.

Available from: https://doi.org/10.1007/978-3-030-71175-7_9

Conference contributions, peer-reviewed

Templ, Matthias,

2021.

Can we ignore the compositional nature of compositional data by using deep learning aproaches? [paper].

In:

Perna, Cirna; Salvati, Nicola; Schirripa Spagnolo, Francesco, eds.,

Book of Short Papers SIS 2021.

Surface Inspection Summit Europe, Aachen, Germany, 9-10 November 2021.

London:

Pearson.

pp. 243-248.

Available from: https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Docenti/Universit%C3%A0/pearson-sis-book-2021-parte-1.pdf
Mansor, Kamarul; Alexandru, Ciprian; Templ, Matthias, eds.,

2020.

Special Issue iCMS 2019.

2019 4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Kedah (Malaysia), 23-24 April, 2019.

Austrian Statistical Society.

.

Available from: https://www.ajs.or.at/index.php/ajs/issue/view/93
Heitz, Christoph; Etschmann, Roman; Stoeckle, Raoul; Bachmann, Thomas; Templ, Matthias,

2019.

User-based redistribution in free-floating bike sharing systems [paper].

In:

Operations Research Proceedings 2018.

Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, 12-14 September 2018.

Cham:

Springer.

pp. 555-562.

Operations Research Proceedings.

Available from: https://doi.org/10.1007/978-3-030-18500-8_69

Other publications

Templ, Matthias,

2020.

Artificial neural networks to impute rounded zeros in compositional data.

arXiv.

Available from: https://doi.org/10.21256/zhaw-21964
Sauermann, Stefan; Kanjala, Chifundo; Templ, Matthias; Austin, Claire C.,

2020.

Preservation of individuals’ privacy in shared COVID-19 related data.

SSRN.

Available from: https://doi.org/10.2139/ssrn.3648430
Meindl, Bernhard; Kowarik, Alexander; Templ, Matthias,

2017.

sdcApp : a shiny new GUI for sdcMicro [paper].

In:

NTTS New Techniques and Technologies for Statistics, Brussels, Belgium, 13-17 March 2017.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 1-4.

Available from: https://doi.org/10.21256/zhaw-4236
Kreutzmann, Ann-Kristin; Pannier, Sören; Rojas-Perilla, Natalia; Schmid, Timo; Templ, Matthias; Tzavidis, Nikos,

2017.

Small area estimation in R with application to Mexican income data [paper].

In:

NTTS New Techniques and Technologies for Statistics, Brussels, Belgium, 13-17 March 2017.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 1-5.

Available from: https://doi.org/10.21256/zhaw-4235
Templ, Matthias,

2016.

Simulation for Data Science with R.

Packt Publishing.

ISBN 9781785881169.

Oral conference contributions and abstracts

Templ, Matthias,

2020.

Anonymization and re-identification risk of personal data.

In:

Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
Filzmoser, Peter; Lubbe, Sugnet; Templ, Matthias,

2020.

Strategies to replace high proportions of zeros in compositional data.

In:

1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020.
Templ, Matthias,

2020.

Anonymisierung von personenbezogenen Daten.

In:

Winterkongress der Digitalen Gesellschaft, Zürich, 22. Februar 2020.
Templ, Matthias,

2020.

Exploratives Lernen mittels Fallen stellen, Fehler provozieren und Feedback geben.

In:

IAS Tag der Lehre, Wädenswil, 8. Januar 2020.
Templ, Matthias,

2020.

Functional data analysis in Bayes spaces with an application to spatio-temporal population data.

In:

uRos 2020 Abstracts.

Use of R in Official Statistics 2020 : 8th international conference, virtual, 2-4 December 2020.

Statistik Austria.

Available from: https://uros.hopto.org/
Templ, Matthias,

2019.

Applied compositional data analysis.

In:

4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Langkawi, Malaysia, 23-24 April 2019.
Templ, Matthias,

2019.

Anonymisierung aus wissenschaftlicher Sicht.

In:

Fachtagung Anonymisierung des Vereins für Datenschutz, Bern, 28. August 2019.
Templ, Matthias,

2018.

Compositional data analysis of our favourite drinks.

In:

eRum 2018, European R Users Meeting, Budapest, Bulgaria, 14-16 May 2018.

Available from: https://2018.erum.io/#talk-2-44
Templ, Matthias,

2017.

Applied statistical disclosure control : methods and software.

In:

3rd International Conference on Computing, Mathematics and Statistics (iCMS2017), Langkawi, Malaysia, 7-8 November 2017.
Templ, Matthias; Hron, Karel; Filzmoser, Peter,

2017.

Exploring outliers in compositional data with structural zeros.

In:

CoDaWork 2017, Siena, Italy, 5-9 June 2017.

Available from: http://www.compositionaldata.com/codawork2017/abstracts/8thThursday/Oral/ZER-2.pdf
Templ, Matthias,

2017.

R and data manipulation : application with big data.

In:

The 5th Joint International Conference on New Challenges for Statistical Software, Langkawi Island, Malaysia, 7-8 November 2017.
Sariyar, Murat; Templ, Matthias,

2017.

Schulung zur Anonymisierung von personenbezogenen Datenbeständen.

In:

Schulung.
Kowarik, Alexander; Templ, Matthias,

2017.

Visualisation and imputation of missing values.

In:

61st World Statistics Congress (ISI 2017) Marrakech, Morocco, 16-21 July 2017.
Templ, Matthias,

2016.

Data visualization using R.

In:

eRum 2016, European R Users Meeting, Poznan, Poland, 12-14 October 2016.

Available from: http://erum.ue.poznan.pl/
Hron, Karel; Templ, Matthias; Filzmoser, Peter,

2016.

Exploring outliers in compositional data with structural zeros.

In:

9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Seville, Spain, 9-11 December 2016.

Publications before appointment at the ZHAW

Bücher und Buch-Herausgaben

P. Filzmoser, M. Templ:
"Special Issue - 10th International Conference COMPUTER DATA ANALYSIS & MODELLING 2013, Minsk, Belarus ( Vol.43, 3-4)";
in Buchreihe "Österreichische Zeitschrift für Statistik", Buchreihen-Herausgeber: ÖSG (P. Filzmoser); Österreichische Statistische Gesellschaft, 2014, ISSN: 1026-597x, 294 S.

M. Gantschacher, D. Ossberger, M. Templ, C. Wirthumer-Hoche, M. Wolf:
"Forschungsbericht: Studienbericht: Sprechende Gebrauchs- und Produktinformation";
in Buchreihe "Schriftenreihe Gesundheitsreihe und -wissenschaft", Buchreihen-Herausgeber: M. Gantschacher; herausgegeben von: ANISNet; Sigmund Freud PrivatUniversitäts Verlag, Wien, 2013, ISBN: 978-3-902594-96-9, 187 S.

K. Hron, P. Filzmoser, M. Templ (Hrg.):
"Proceedings of the 5th International Workshop on compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria";
TU WIEN, 2013, ISBN: 978-3-200-03103-6; 196 S.

M. Templ:
"New Developments in Statistical Disclosure Control and Imputation: Robust Statistics Applied to Official Statistics";
Südwestdeutscher Verlag für Hochschulschriften, 2009, ISBN: 3838108280; 264 S.

M. Templ:
"Simulation for Data Science with R";
Packt Publishing, London, 2016, ISBN: 978-1-78588-116-9; 398 S.

Zeitschriftenartikel

A. Alfons, M. Templ:
"Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken";
Journal of Statistical Software, Vol. 54 (2013), Issue 15, Sep 2013; S. 1 - 25.

A. Alfons, M. Templ, P. Filzmoser:
"An object-oriented framework for statistical simulation: The R Package simFrame";
Journal of Statistical Software, 37 (2010), 3; S. 1 - 36.

A. Alfons, M. Templ, P. Filzmoser:
"Robust estimation of economic indicators from survey samples based on Pareto tail modelling";
Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 62 (2013), Issue 2; S. 271 - 286.

A. Alfons, M. Templ, P. Filzmoser:
"Simulation of close-to-reality population data for household surveys with application to EU-SILC";
Statistical Methods & Applications, 20 (2011), 3; S. 383 - 407.

G. Dinges, A. Kowarik, B. Meindl, M. Templ:
"An Open Source Approach for Modern Teaching Methods: The Interactive TGUI System";
Journal of Statistical Software, 397 (2011).

G. Dinges, A. Kowarik, B. Meindl, M. Templ:
"Moderne Wege der Wissensvermittlung: Statistikunterricht interaktiv";
Statistische Nachrichten, 9 (2011), S. 919 - 922.

G. Dinges, M. Templ:
"Motivation zur Statistik - Computergestützt lernen in der Statistik Austria";
Austrian Journal of Statistics, 38 (2009), 1; S. 3 - 16.

J.J. Egozcue, V. Pawlowsky-Glahn, M. Templ, K. Hron:
"Independence in Contingency Tables Using Simplical Geometry";
Communications in Statistics - Theory and Methods, 44 (2015), 18; S. 3978 - 3996.

H. Facevicova, K. Hron, V. Todorov, D. Guo, M. Templ:
"Logratio approach to 2 x 2 compositional tables";
angenommen für Journal of Applied Statistics (2009), S. ##.

K. Facevicova, K. Hron, V. Todorov, M. Templ:
"Compositional Tables Analysis in Coordinates";
Scandinavian Journal of Statistics, online first (2016).

P. Filzmoser, K. Hron, K. Hruzova, A. Menafoglio, M. Templ:
"Simplicial principal component analysis for density functions in Bayes spaces";
Computational Statistics and Data Analysis, 94 (2015), S. 330 - 350.

P. Filzmoser, K. Hron, M. Templ:
"Discriminant analysis for compositional data and robust parameter estimation";
Computational Statistics, 27 (2012), 4; S. 585 - 604.

W. Grossmann, W. Mueller, M. Templ:
"Ein Interview mit Wilfried Grossmann";
Austrian Journal of Statistics, 43 (2014), 2; S. 151 - 162.

P. Hackl, W. Mueller, M. Templ:
"Akademische und Offizielle Statistik vereint. Ein Interview mit Peter Hackl.";
Austrian Journal of Statistics, 44 (2015), 3; S. 85 - 95.

K. Hron, A. Menafoglio, M. Templ, K. Hruzova, P. Filzmoser:
"Simplicial principal component analysis for density functions in Bayes spaces";
Computational Statistics and Data Analysis, 94 (2016), S. 330 - 350.

K. Hron, M. Templ, P. Filzmoser:
"Estimation of a proportion in survey sampling using the logratio approach";
Metrika, 76 (2013), 6; S. 799 - 818.

K. Hron, M. Templ, P. Filzmoser:
"Imputation of missing values for compositional data using classical and robust methods";
Computational Statistics and Data Analysis, 54 (2010), S. 3095 - 3107.

K. Hron, M. Templ, V. Todorov et al.:
"Logratio approach to statistical analysis of 2×2 compositional tables";
Journal of Applied Statistics, 41 (2014), 41; S. 944 - 958.

J. Huber, B. Pötsch, M. Gantschacher, M. Templ:
"Routine Treatment of Cervical Cytological Cell Changes";
Geburtshilfe Frauenheilkunde, 76 (2016), 10; S. 1086 - 1091.

D. Kepplinger, M. Templ, S. Upadhyaya:
"Analysis of energy intensity in manufacturing industry using mixed-effects models";
Energy, 59 (2013), 15. September; S. 754 - 763.

A. Kowarik, B. Meindl, M. Templ:
"sparkTable: Generating Graphical Tables for Websites and Documents with R";
R Journal, 7 (2015), 1; S. 24 - 37.

A. Kowarik, A. Meraner, M. Templ, D. Schopfhauser:
"Seasonal Adjustment with the R-packages x12 and x12GUI";
Journal of Statistical Software, 62 (2014), 2; S. 1 - 21.

A. Kowarik, M. Templ:
"Imputation with the R Package VIM";
Journal of Statistical Software, 74 (2016), 7; S. 1 - 16.

E. Kutzenberger, W. Holzer, M. Templ:
"Ein Pakt mit den Bürgern. Ein Interview mit Ewald Kutzenberger";
Austrian Journal of Statistics, 44 (2015), 1; S. 47 - 57.

J.A. Martin-Fernandez, K. Hron, M. Templ, P. Filzmoser, J. Palarea-Albaladejo:
"Bayesian-multiplicative treatment of count zeros in compositional data sets";
Statistical Modelling, 15 (2015), 2; S. 134 - 158.

J.A. Martin-Fernandez, K. Hron, M. Templ, P. Filzmoser, J. Palarea-Albaladejo:
"Model-based replacement of rounded zeros in compositional data: Classical and robust approaches";
Computational Statistics and Data Analysis, 56 (2012), S. 2688 - 2704.

B. Meindl, M. Templ:
"Analysis of Commercial and Free and Open Source Solvers for the Cell Suppression Problem";
Tansaction on Data Privacy, Volume 6 (2013), 2; S. 147 - 159.

E. Stadlober, H. Friedl, M. Templ:
"Die Theorie lebt in der Praxis. Ein Interview mit Ernst Stadlober";
Austrian Journal of Statistics, 45 (2016), 2; S. 69 - 80.

B. Templ, S. Fleck, M. Templ:
"Change of plant phenophases explained by survival modelling";
angenommen für International Journal of Biometerology (2016).

M. Templ:
"Clusteranalyse mit SPSS. Mit Faktorenanalyse. (Book Reviews)";
Austrian Journal of Statistics, 38 (2009), S. 287 - 291.

M. Templ:
"Correlation Between Indicators Over Time in Thematic Maps";
Austrian Journal of Statistics, 41 (2012), 1; S. 67 - 79.

M. Templ:
"Forschungsaktivitäten im Bereich statistischer Geheimhaltung von Mikrodaten";
Statistische Nachrichten, 1 (2008), S. 94 - 98.

M. Templ:
"Forschungsprojekt AMELI; regionale Schätzung von Armut und sozialem Zusammenhalt in Europa";
Statistische Nachrichten, 2 (2009), S. 173 - 177.

M. Templ:
"Providing Data with High Utility and No Disclosure Risk for the Public and Researchers: An Evaluation by Advanced Statistical Disclosure Risk Methods";
Austrian Journal of Statistics, 43 (2014), 4; S. 247 - 254.

M. Templ:
"Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey";
Journal of Official Statistics, 31 (2015), 4; S. 737 - 761.

M. Templ:
"Statistical Disclosure Control for Microdata Using the R-Package sdcMicro";
Transactions on Data Privacy, 1 (2008), S. 67 - 85.

M. Templ, S. Aklan, P. Filzmoser, M. Preusser, J. Hainfellner:
"Statistical Indicators for the Analysis of Digitalized Brain Tumor Images";
Austrian Journal of Statistics, Volume 42 (2013), 2; S. 81 - 100.

M. Templ, A. Alfons, P. Filzmoser:
"Exploring incomplete data using visualization techniques";
Advances in Data Analysis and Classification, 6 (2012), S. 29 - 47.

M. Templ, P. Filzmoser:
"Simulation and quality of a synthetic close-to-reality employer-employee population";
Journal of Applied Statistics, 41 (2014), 5; S. 1053 - 1072.

M. Templ, P. Filzmoser, C. Reimann:
"Cluster analysis applied to regional geochemical data: Problems and possibilities";
Applied Geochemistry, 23 (2008), 8; S. 2198 - 2213.

M. Templ, K. Hron, P. Filzmoser:
"Exploratory Tools for Outlier Detection in Compositional Data with Structural Zeros";
Journal of Applied Statistics, online first (2016), S. 1 - 19.

M. Templ, K. Hron, P. Filzmoser, A. Gardlo:
"Imputation of rounded zeros for high-dimensional compositional data";
Chemometrics and Intelligent Laboratory Systems, 155 (2016), S. 183 - 190.

M. Templ, B. Hulliger, A. Kowarik, K. Fürst:
"Combining geographical information and traditional plots: the checkerplot";
International Journal of Geographical Information Science, 1 (2012), S. 3 - 16.

M. Templ, A. Kowarik, P. Filzmoser:
"Iterative stepwise regression imputation using standard and robust methods";
Computational Statistics and Data Analysis, 55 (2011), S. 2793 - 2806.

M. Templ, A. Kowarik, B. Meindl:
"Development and Current Practice in Using R at Statistics Austria";
Romanian Statistical Review, 2 (2014), S. 173 - 184.

M. Templ, A. Kowarik, B. Meindl:
"Statistical Disclosure Control for Micro-Data Using the R Package sdcMicro";
Journal of Statistical Software, 67 (2015), 4; S. 1 - 36.

M. Templ, T. Petelin:
"A Graphical User Interface for Microdata Protection Which Provides Reproducibility and Interactions: the sdcMicro GUI";
Transactions on Data Privacy, 2 (2009), S. 207 - 223.

M. Templ, V. Todorov:
"Official Statistics and Survey Methodology meets R: An Overview of Corresponding Packages";
The Survey Statistician, July (2012), 66; S. 26 - 34.

V. Todorov, M. Templ, P. Filzmoser:
"Detection of multivariate outliers in business survey data with incomplete information";
Advances in Data Analysis and Classification, 5 (2011), 1; S. 37 - 56.

G.K. van~den~Boogaart, R. Tolosano-Delgado, M. Templ:
"Regression with Compositional Response Having Unobserved Components or Below Detection Limit Values";
Statistical Modelling, 15 (2015), 2; S. 191 - 213.

Editorials in wiss. Zeitschriften

H. Friedl, M. Templ:
"Editorial";
Austrian Journal of Statistics, 43 (2014), 3; S. 3.

M. Templ:
"Editorial";
Austrian Journal of Statistics, 44 (2015), 1; S. 3.

M. Templ:
"Editorial";
Austrian Journal of Statistics, 44 (2015), 4; S. 3.

M. Templ:
"Editorial AJS Vol 44/3";
Austrian Journal of Statistics, 44 (2015), 3; S. 1.

M. Templ:
"Editorial Austrian Journal of Statistics Vol 45/2";
Austrian Journal of Statistics, 45 (2016), 2; S. 3.

M. Templ:
"Editorial Special Issue on Official Statistics";
Austrian Journal of Statistics, 43 (2014), 1; S. 1.

Buchbeiträge

K. Hron, P. Filzmoser, M. Templ et al.:
"Robust Regression with Compositional Response: Application to Geosciences";
in: "Mathematics of Planet Earth, Lecture Notes in Earth System Sciences", herausgegeben von: Instituto Geológico y Minero de España, Madrid, Spain; Springer Verlag Berlin-Heidelberg, 2014, ISBN: 978-3-642-32407-9, S. 87 - 90.

A. Kowarik, M. Templ, B. Meindl, F. Fonteneau, B. Prantner:
"Testing of IHSN C++ Code and Inclusion of New Methods into sdcMicro";
in: "Lecture Notes in Computer Science", J. Domingo-Ferrer, I. Tinnirello (Hrg.); Springer, Berlin, 2012, ISBN: 978-3-642-33626-3, S. 63 - 77.

M. Templ:
"Software Development for SDC in R";
in: "Privacy in Statistical Databases, Lecture Notes in Computer Science, Vol. 4302", J. Domingo-Ferrer, L. Franconi (Hrg.); Springer, Berlin Heidelberg, 2006, ISBN: 978-3-540-49330-3, S. 347 - 359.

M. Templ, A. Alfons:
"Disclosure Risk of Synthetic Population Data with Application in the Case of EU-SILC";
in: "Privacy in Statistical Databases, Lecture Notes in Computer Science", J. Domingo-Ferrer, E. Magkos (Hrg.); Springer Verlag, Berlin, Heidelberg, 2010, ISBN: 978-3-642-15837-7, S. 174 - 186.

M. Templ, K. Hron, P. Filzmoser:
"robCompositions: an R-package for robust statistical analysis of compositional data";
in: "Compositional Data Analysis: Theory and Applications", John Wiley & Sons, 2011, ISBN: 978-0-470-71135-4, S. 341 - 355.

M. Templ, B. Meindl:
"Practical Applications in Statistical Disclosure Control Using R";
in: "Privacy and Anonymity in Information Management Systems New Techniques for New Practical Problems", J. Nin, J. Herranz (Hrg.); Springer Verlag, 2010, ISBN: 978-1-84996-237-7, S. 31 - 62.

M. Templ, B. Meindl:
"Robust Statistics Meets SDC: New Disclosure Risk Measures for Continuous Microdata Masking";
in: "Lecture Notes on Computer Science", J. Domingo-Ferrer, Y. Saygin (Hrg.); herausgegeben von: UNESCO; Springer, Berlin/Heidelberg, 2008, ISBN: 978-3-540-87470-6, S. 13.

M. Templ, B. Meindl:
"Robustification of Microdata Masking Methods and the Comparison with Existing Methods";
in: "Lecture Notes on Computer Science", J. Domingo-Ferrer, Y. Saygin (Hrg.); herausgegeben von: UNESCO; Springer, Berlin/Heidelberg, 2008, ISBN: 978-3-540-87470-6, S. 14.

Beiträge in Tagungsbänden

D. Elias, B. Nadler, F. Nadler, A. Dinkel, S. Gürtler, A. Kowarik, B. Meindl, M. Templ:
"QUATRA (Software and Services for the Quality Management of Traffic Data)";
in: "Transport Research Arena (TRA) 2014 Proceedings / 5th Conference: Transport Solutions from Research to Deployment", herausgegeben von: European Commission; Transport Research Arena (TRA), 2014, S. 1 - 10.

A. Kowarik, B. Meindl, M. Templ:
"sparkTable: Generating Graphical Tables for Websites and Documents with R";
in: "Proceedings of the European Conference on Quality in Official Statistics 2014", Statistik Austria, Wien, 2014, 8 S.

A. Kowarik, M. Templ:
"Make Your Data Confidential with the sdcMicro and sdcMicroGUI packages";
in: "The R User Conference, useR! 2013, Book of Cotributed Abstracts", University of Castilla-La Mancha, Albacete, Spain, 2013, S. 64.

A. Kowarik, M. Templ, D. Schopfhauser:
"New Features of VIM - Visualisation and Imputation of Missing Values";
in: "UNECE Worksession on Statistical Data Editing", herausgegeben von: UNECE; UNECE, Paris, 2014, 8 S.

G. Monti, K. Hron, P. Filzmoser, M. Templ:
"Covariance-Based Outlier Detection for Compositional Data with Structural Zeros: Application to Italian Survey of Household Income and Wealth Data";
in: "Dipartimento di Economia, Metodi Quantitativi e Strategie di Impresa", D. Vita e Pensiero (Hrg.); herausgegeben von: Vita e Pensiero; Vita e Pensiero, 2013, ISBN: 9788834325568.

M. Templ:
"Experimental R-packages for Data Disclosure";
in: "Proceedings of the European Conference on Quality in Survey Statistics", European Conference on Quality in Survey Statistics, Cardiff, UK, 2006.

M. Templ:
"Providing data with high utility and no disclosure risk for the public and researchers - an evaluation by advanced statistical disclosure risk methods";
in: "Proceedings of the 10th International Conderence Computer Data Analysis & Modelling 2013", Belarusian State University, 2013, (eingeladen), S. 57 - 66.

M. Templ:
"sdcMicro: A package for Statistical Disclosure Control in R";
in: "Bulletin of the International Statistical Institute, 56th Session", ISI 2007, Lissabon, 2007.

M. Templ:
"Synthetic Data: Modelling and Generating Complex Close-to-Reality Data for Public Use";
in: "Olomoucian Days of Applied Mathematics", E. Fiserová (Hrg.); herausgegeben von: Univerzita Palackeho Olomouc; Univerzita Palackeho Olomouc, Olomouc, 2015, S. 81.

M. Templ, A. Alfons:
"Visualisierung von fehlenden Werten";
in: "Tagungsband zum 18. Wissenschaftlichen Kolloquium "Informationsvisualisierung - Grafische Aufbereitung und Analyse von statistischen Daten", Statistisches Bundesamt Deutschland, 2009, 14 S.

M. Templ, A. Alfons, P. Filzmoser:
"Robust semi-parametric estimation of social cohesion and poverty indicators";
in: "Proceedings of the 58th ISI Conference in Dublin", International Statistical Institute, 2011, 2 S.

M. Templ, A. Kowarik, B. Hulliger:
"Visualization of Complex Statistical Information in Maps";
in: "2012 JSM Proceedings", American Statistical Association, 2012, 5 S.

M. Templ, B. Meindl:
"Methods and Tools for the Generation of Synthetic Populations. A Brief Review";
in: "Proceedings of the Privacy in Statistical Databases 2014, UNESCO Chair in Data Privacy, International Conference, PSD 2014, Ibiza, Spain, September 17-19, 2014.", J. Domingo-Ferrer (Hrg.); Springer Verlag, 2014, ISBN: 9783319112565, 10 S.

Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag)

A. Alfons, S. Kraft, M. Templ, P. Filzmoser:
"Analyse und Visualisierung von EU-SILC Daten in R";
Vortrag: Workshop TU Wien/TU Dresden, Vorau (eingeladen); 26.09.2008; in: "Abstracts of the Workshop TU Wien/TU Dresden", (2008), S. 6.

A. Alfons, S. Kraft, M. Templ, P. Filzmoser:
"Simulation of population data for complex household surveys";
Vortrag: International Conference on Indicators and Survey Methodology, Wien; 24.02.2010 - 26.02.2010; in: "Abstracts of the International Conference on Indicators and Survey Methodology", (2010), S. 13.

A. Alfons, M. Templ:
"Simulation in robust statistics using the R package simFrame";
Vortrag: Third International Conference on Computational and Financial Econometrics, Limassol (eingeladen); 29.10.2009 - 31.10.2009; in: "Abstracts of the Third International Conference on Computational and Financial Econometrics (CFE 09) and Second Workshop of the ERCIM Working Group on Computing & Statistics (ERCIM 09)", (2009), S. 89.

A. Alfons, M. Templ, P. Filzmoser:
"Contamination models in the R package simFrame for statistical simulation";
Vortrag: Ninth International Conference on Computer Data Analysis and Modeling, Minsk; 07.09.2010 - 11.09.2010; in: "Proceedings of the Ninth International Conference on Computer Data Analysis and Modeling", S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.); 2 (2010), S. 178 - 181.

A. Alfons, M. Templ, P. Filzmoser:
"Exploring Microdata with Missing Information";
Vortrag: Workshop on Exploratory Data Analysis and Visualization, Wien; 27.05.2010 - 28.05.2010; in: "Abstracts of the Workshop on Exploratory Data Analysis and Visualization", (2010), S. 11.

A. Alfons, M. Templ, P. Filzmoser:
"On the influence of imputation methods on Laeken indicators: simulations and recommendations";
Vortrag: Conference of European Statisticians, Neuchatel (eingeladen); 05.10.2009; in: "Proceedings of the Conference of European Statisticians", Neuchatel (2009), 9 S.

A. Alfons, M. Templ, P. Filzmoser:
"Robust estimation of social inclusion indicators based on Pareto tail modeling";
Vortrag: Conference on New Techniques and Technologies for Statistics, Brüssel; 23.02.2011; in: "Proceedings of the NTTS 2011 conference", (2011), 3 S.

A. Alfons, M. Templ, P. Filzmoser:
"The R package simFrame: An object-oriented approach towards simulation studies in statistics";
Vortrag: useR! 2010, Gaithersburg (eingeladen); 21.07.2010; in: "Abstracts of Contributed Presentations", (2010), S. 13.

A. Alfons, M. Templ, P. Filzmoser, J. Holzer, G. Gonzalez-Rodriguez:
"A comparison of robust methods for Pareto tail modeling in the case of Laeken indicators";
Vortrag: 5th International Conference on Soft Methods in Probability and Statistics, Oviedo (eingeladen); 29.09.2010; in: "Combining Soft Computing and Statistical Methods in Data Analysis", C. Borgelt, G. Gonzalez-Rodriguez, W. Trutschnig, M.A. Lubiano, M. Gil, P. Grzegorzewski, O. Hryniewicz (Hrg.); (2010), S. 17 - 24.

P. Filzmoser, H. Fritz, K. Horn, M. Templ:
"The estimation of missing data in presence of outliers: computational aspects";
Vortrag: Third International Conference on Computational and Financial Econometrics, Limassol (eingeladen); 29.10.2009 - 31.10.2009; in: "Abstracts of the Third International Conference on Computational and Financial Econometrics (CFE 09) and Second Workshop of the ERCIM Working Group on Computing & Statistics (ERCIM 09)", (2009), S. 29.

P. Filzmoser, K. Hron, M. Templ:
"Discriminant Analysis for Compositional Data and Robust Parameter Estimation";
Vortrag: Olomoucian Days of Applied Mathematics, Olomouc; 26.01.2011 - 28.01.2011; in: "Book of Abstracts of the Olomoucian Days of Applied Mathematics", (2011), S. 17.

P. Filzmoser, K. Hron, M. Templ:
"Robust compositional data analysis";
Hauptvortrag: CODAWORK'11, Girona; 09.05.2011; in: "Proceedings of the 4th International Workshop on Compositional Data Analysis", (2011), ISBN: 978-84-87867-76-7; S. 4.

P. Filzmoser, M. Templ:
"Data Analysis with Robust Statistical Methods";
Vortrag: Workshop on Exploratory Data Analysis and Visualization, Wien; 27.05.2010 - 28.05.2010; in: "Abstracts of the Workshop on Exploratory Data Analysis and Visualization", (2010), S. 17.

K. Hron, P. Filzmoser, M. Templ:
"Classical and robust simple random sampling for compositional data";
Vortrag: International Conference on Indicators and Survey Methodology, Wien; 24.02.2010 - 26.02.2010; in: "Abstracts of the International Conference on Indicators and Survey Methodology", (2010), S. 33.

K. Hron, E. Fiserová, P. Filzmoser, M. Templ:
"On the Interpretation of Orthonormal Coordinates for Compositional Data with Applications";
Vortrag: Olomoucian Days of Applied Mathematics, Olomouc; 26.01.2011 - 28.01.2011; in: "Book of Abstracts of the Olomoucian Days of Applied Mathematics", (2011), S. 27.

K. Hron, A. Menafoglio, M. Templ, K. Hruzova, P. Filzmoser:
"Simplicial principal component analysis for density functions in Bayes spaces";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Pisa, Italy; 06.12.2014 - 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts", (2014), ISBN: 978-84-937822-4-5.

K. Hron, M. Templ, P. Filzmoser:
"A Robust Approach for Dealing with Missing Values in Compositional Data";
Vortrag: International Conference on Robust Statistics 2008, Antalya; 08.09.2008 - 12.09.2008; in: "Abstracts of the International Conference on Robust Statistics 2008", (2008), S. 48 - 49.

K. Hron, M. Templ, P. Filzmoser:
"Classical and robust imputation of missing values for compositional data using balances";
Vortrag: CODAWORK'11, Girona; 09.05.2011 - 13.05.2011; in: "Proceedings of the 4th International Workshop on Compositional Data Analysis", (2011), 1 S.

K. Hron, M. Templ, P. Filzmoser:
"Exploratory compositional data analysis using the R-package robCompositions";
Vortrag: Ninth International Conference on Computer Data Analysis and Modeling, Minsk (eingeladen); 07.09.2010 - 11.09.2010; in: "Proceedings of the Ninth International Conference Data Analysis and Modeling", S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.); 1 (2010), S. 179 - 186.

K. Hron, M. Templ, V. Todorov:
"Robust exploratory data analysis of compositional tables (in Session: Robust and nonparametric methods)";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Pisa, Italy; 06.12.2014 - 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts", (2014), ISBN: 978-84-937822-4-5; S. ##.

B. Hulliger, D. Lussmann, M. Templ:
"Visualisation in the AMELI project";
Vortrag: Workshop on Exploratory Data Analysis and Visualization, Wien; 27.05.2010 - 28.05.2010; in: "Abstracts of the Workshop on Exploratory Data Analysis and Visualization", (2010), S. 20.

A. Kowarik, A. Meraner, D. Schopfhauser, M. Templ:
"Interactive Adjustment and Outlier Detection of Time dependent data in R";
Vortrag: UNECE worksession on statistical data editing, Norway, Oslo; 24.09.2012 - 26.09.2012; in: "Conference of European Statisticians, Norway/Oslo, September 2012", UNECE (Hrg.); (2012), S. 1 - 11.

J.A. Martin-Fernandez, K. Hron, M. Templ, P. Filzmoser, J. Palarea-Albaladejo:
"Evaluating the performance of a Bayesian-multiplicative treatment of zeros in compositional data sets";
Vortrag: International Conference on Computational Statistics, Limassol / Cyprus (eingeladen); 28.08.2012 - 31.08.2012; in: "Proceedings of COMPSTAT2012", (2012), ISBN: 978-90-73592-32-2; S. ##.

B. Meindl, M. Templ:
"The anonymisation of the CVTS2 and income tax dataset. An approach using R-package "SDC MICRO"";
Vortrag: Joint UNECE/Eurostat work session on statistical data confidentiality, Manchester; 19.12.2007; in: "Proceedings of the Joint UNECE/Eurostat work session on statistical data confidentiality", (2007), 10 S.

M. Templ:
"A Methodological and Computational Framework for Statistical Disclosure Control";
Vortrag: Conference of European Statistical Stakeholders, Rome (eingeladen); 24.11.2014 - 25.11.2014; in: "Conference of European Statistics Shakeholders. Methodologists, Producers and Users of European Statistics", Sapienza University of Rome, (2014), S. 36.

M. Templ:
"An interactive graphical user interface for microdata protection which allows reproducibility";
Vortrag: Joint UNECE/Eurostat work session on statistical data confidentiality, Bilbao (eingeladen); 03.12.2009; in: "Abstracts of the conference of european statisticians", (2009).

M. Templ:
"Comparison of perturbation methods based on pre-defined quality indicators";
Vortrag: Conference of European Statisticians in Tarragona, Joint UNECE/Eurostat work session on statistical data confidentiality, Spanien (eingeladen); 26.10.2011 - 28.10.2011; in: "Online Proceedings of the Conference of European Statisticians", (2011), 9 S.

M. Templ:
"Contributions to robustness and outlier identification (Chair - Session ES140)";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Pisa, Italy; 06.12.2014 - 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts", (2014), ISBN: 978-84-937822-4-5; S. ##.

M. Templ:
"Distance-Based Disclosure Risk for Record Linkage in Official Statistics";
Vortrag: International Conference on Robust Statistics 2008, Antalya; 11.09.2008 - 12.09.2008; in: "Abstracts of the International Conference On Robust Statistics 2008", (2008), S. 97.

M. Templ:
"sdcMicro: A new flexible R-package for the generation of anonymised microdata - design issues and new methods";
Vortrag: Joint UNECE/Eurostat work session on statistical data confidentiality, Manchester; 19.12.2007; in: "Proceedings of the Joint UNECE/Eurostat work session on statistical data confidentiality", (2007), 11 S.

M. Templ:
"Supporting tools";
Vortrag: CoDaWork 2013, Vorau; 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria", K. Hron, P. Filzmoser, M. Templ (Hrg.); (2013), ISBN: 978-3-200-03103-6; S. ##.

M. Templ:
"Visualisation of Missing Values before Imputation";
Vortrag: European Conference on Quality in Official Statistics, Rom; 09.07.2008 - 11.07.2008; in: "Abstracts of the European Conference on Quality in Official Statistics", (2008), S. 49 - 50.

M. Templ, A. Alfons, P. Filzmoser:
"Exploring the multivariate structure of missing values using the R package VIM";
Vortrag: useR! 2009, Rennes; 08.07.2009 - 10.07.2009; in: "Abstracts of the 5th R useR Conference", Rennes (2009), S. 194.

M. Templ, A. Alfons, P. Filzmoser, J. Holzer:
"Estimation of Social Inclusion Indicators with Bounded Influence of Incomes by Tail Modeling";
Vortrag: Olomoucian Days of Applied Mathematics, Olomouc; 26.01.2011 - 28.01.2011; in: "Book of Abstracts of the Olomoucian Days of Applied Mathematics", (2011), S. 61.

M. Templ, A. Alfons, A. Kowarik, B. Meindl, P. Filzmoser, B. Hulliger, D. Lussmann:
"Visualisation of indicators within the AMELI project";
Vortrag: Conference on New Techniques and Technologies for Statistics, Brüssel; 23.02.2011; in: "Proceedings of the NTTS 2011 conference", (2011), 2 S.

M. Templ, P. Filzmoser, K. Hron:
"Analysis of Compositional Data using Robust Methods. The R-Package robCompositions";
Vortrag: CODAWORK'11, Girona; 09.05.2011 - 13.05.2011; in: "Proceedings of the Conference of European Statisticians, Work Session on Statistical Data Editing", (2011).

M. Templ, P. Filzmoser, K. Hron:
"Imputation of item non-responses in compositional data using robust methods";
Vortrag: Conference of European Statisticians, Neuchatel (eingeladen); 05.10.2009; in: "Proceedings of the Conference of European Statisticians", Neuchatel (2009), 11 S.

M. Templ, P. Filzmoser, K. Hron:
"Missing Values in Compositional Data: Imputation and Diagnostics";
Vortrag: 6th International Conference on Computational Management Science, Genf (eingeladen); 02.05.2009; in: "Abstracts of the 6th International Conference on Computational Management Science", (2009), S. 16.

M. Templ, P. Filzmoser, K. Hron:
"Robust Imputation of Missing Values in Compositional Data Using the R-package robCompositions";
Vortrag: NTTS Conference, Brüssel; 19.02.2009; in: "Proceedings of the NTTS Conference", (2009).

M. Templ, P. Filzmoser, K. Hron:
"Robustness for Compositional Data Using the R Package robCompositions";
Vortrag: International Conference in Robust Statistics, Parma (eingeladen); 15.06.2009; in: "Abstracts of the International Conference in Robust Statistics", (2009), S. 146 - 147.

M. Templ, K. Hron, P. Filzmoser:
"robCompositions: An R-package for robust statistical analysis of compositional data";
Vortrag: useR! 2010, Gaithersburg (eingeladen); 21.07.2010; in: "Abstracts of Contributed Presentations", (2010), S. 161.

M. Templ, K. Hron, P. Filzmoser et al.:
"The R packages robCompositions and compositionsGUI";
Vortrag: CoDaWork 2013, Vorau (eingeladen); 04.06.2013 - 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria", K. Hron, P. Filzmoser, M. Templ (Hrg.); (2013), ISBN: 978-3-200-03103-6; S. ##.

M. Templ, K. Hron, P. Filzmoser, G. Monti:
"Methods to Detect Outliers in Compositional Data with Structural Zeros";
Vortrag: CoDaWork 2013, Vorau; 05.06.2013 - 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria", K. Hron, P. Filzmoser, M. Templ (Hrg.); (2013), ISBN: 978-3-200-03103-6; S. 56.

M. Templ, B. Hulliger, A. Kowarik:
"Visualization of regional indicators with the checkerplot";
Vortrag: Statistische Woche 2012, TU Wien; 18.09.2012 - 21.09.2012; in: "Book of Abstracts", P. Filzmoser (Hrg.); (2012), S. 141.

M. Templ, A. Kovarik, P. Filzmoser, A. Alfons:
"Iterative imputation of complex survey data using robust methods";
Vortrag: International Conference on Indicators and Survey Methodology, Wien; 24.02.2010 - 26.02.2010; in: "Abstracts of the International Conference on Indicators and Survey Methodology", (2010), S. 51.

M. Templ, A. Kowarik, P. Filzmoser:
"Imputation of complex data with R-package VIM: traditional and new methods based on robust estimation";
Vortrag: Conference of European Statisticians, Ljubljana; 09.05.2011 - 11.05.2011; in: "Proceedings of the Conference of European Statisticians, Work Session on Statistical Data Editing", (2011), 10 S.

M. Templ, A. Kowarik, P. Filzmoser:
"Iterative robust model-based Imputation of complex data";
Vortrag: Third International Conference on Computational and Financial Econometrics, Limassol (eingeladen); 29.10.2009 - 31.10.2009; in: "Abstracts of the Third International Conference on Computational and Financial Econometrics (CFE 09) and Second Workshop of the ERCIM Working Group on Computing & Statistics (ERCIM) 09", (2009), S. 29.

M. Templ, B. Meindl:
"Methods and tools for the simulation of synthetic populations (in Session: Statistical modelling with R)";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Pisa, Italy; 06.12.2014 - 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts", (2014), ISBN: 978-84-937822-4-5; S. ##.

M. Templ, V. Todorov:
"Official Statistics and Survey Methodology Meets R: An Overview of Corresponding Packages";
Vortrag: International Conference on Establishment Surveys, Montreal; 13.06.2012; in: "Proceedings of the International Conference on Establishment Surveys", (2012).

M. Templ, V. Todorov:
"Screening Methods and Tools for the UNIDO Industrial Statistics (INDSTAT)";
Vortrag: UNECE worksession on statistical data editing, Norway, Oslo (eingeladen); 24.09.2012 - 26.09.2012; in: "Conference of European Statisticians, Norway/Oslo, September 2012", UNECE (Hrg.); (2012), S. 1 - 19.

M. Templ, G. van den Boogaart, J. Eichler, P. Filzmoser, K. Hron, R. Tolosana-Delgado:
"Software compositionsGUI";
Vortrag: CoDaWork 2013, Vorau (eingeladen); 04.06.2013 - 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria", K. Hron, P. Filzmoser, M. Templ (Hrg.); (2013), ISBN: 978-3-200-03103-6; S. ##.

V. Todorov, K. Facevicova, K. Hron, D. Guo, M. Templ:
"Statistical analysis of compositional 2x2 tables with an economic application";
Vortrag: CoDaWork 2013, Vorau; 04.06.2013 - 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria", K. Hron, P. Filzmoser, M. Templ (Hrg.); (2013), ISBN: 978-3-200-03103-6; S. 58.

V. Todorov, M. Templ, P. Filzmoser:
"Outlier Detection in Survey Data";
Vortrag: Compstat 2008, Porto; 26.08.2008; in: "Proceedings in Computational Statistics", Physica-Verlag, (2008).

V. Todorov, M. Templ, P. Filzmoser:
"Outlier detection in survey data using robust methods";
Vortrag: Conference of European Statisticians, Neuchatel (eingeladen); 05.10.2009; in: "Proceedings of the Conference of European Statisticians", (2009), 11 S.

V. Todorov, M. Templ, P. Filzmoser:
"Robust Outlier Detection in Survey Data";
Vortrag: International Conference in Robust Statistics, Parma (eingeladen); 16.06.2009; in: "Abstracts of the International Conference in Robust Statistics", (2009), S. 148 - 149.

V. Todorov, M. Templ, P. Filzmoser:
"Software for multivariate outlier detection in survey data";
Vortrag: Conference of European Statisticians, Ljubljana; 09.05.2011 - 11.05.2011; in: "Proceedings of the Conference of European Statisticians, Work Session on Statistical Data Editing", (2011), 16 S.

G. van den Boogaart, R. Tolosana-Delgado, K. Hron, M. Templ, P. Filzmoser:
"Compositional regression with unobserved components or below detection limit values";
Vortrag: CoDaWork 2013, Vorau; 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria", K. Hron, P. Filzmoser, M. Templ (Hrg.); (2013), ISBN: 978-3-200-03103-6; S. 59.

J. Zehetgruber, P. Filzmoser, K. Hron, M. Templ et al.:
"Robust multivariate regression with compositional data";
Poster: CoDaWork 2013, Vorau; 05.06.2013 - 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria", K. Hron, P. Filzmoser, M. Templ (Hrg.); (2013), ISBN: 978-3-200-03103-6; S. 65.

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