Presentations

[1] Friedrich Leisch. Visualizing cluster results using package flexclust and friends. Presented at “UseR 2009”, Rennes, France, July 07-10 2009. [ bib ]
[2] Friedrich Leisch. Improving managerial usability of market segment solutions through visualization. Presented at “EURISBIS 09”, Cagliari, Italy, May 31 - June 3 2009. [ bib ]
[3] Friedrich Leisch. Cluster analysis for marketing. Invited lecture at University of Wollongong, Australia, March 11 2009. [ bib ]
[4] Friedrich Leisch. Creating R packages. Invited tutorial at “COMPSTAT 2008”, Porto, Portugal, August 24-29 2008. [ bib ]
[5] Friedrich Leisch. Modelling background noise in finite mixtures of generalized linear regression models. Invited talk at “COMPSTAT 2008”, Porto, Portugal, August 24-29 2008. [ bib ]
[6] Friedrich Leisch. Do graphics work for managers? an empirical investigation of the effectiveness of visualization methods for market segmentation: Preliminary results. Presented at “Statistical Graphics: Data and Information Visualization in Today's Multimedia Society”, Jacobs University Bremen, Germany, June 24-28 2008. [ bib ]
[7] Friedrich Leisch. Finite mixtures of generalized linear regression models. Invited lecture at “Mixture models and their applications ”, Royal Statistical Society, London, UK, April 9 2008. [ bib ]
[8] Friedrich Leisch. Creating R packages. Invited tutorial at “Lifestat 2008”, Munich, Germany, March 10-13 2008. [ bib ]
[9] Friedrich Leisch. Finite mixtures of generalized linear regression models. Invited lecture at University of Copenhagen, Denmark, February 25 2008. [ bib ]
[10] Friedrich Leisch. Flexible implementations of cluster analysis and mixture models. Invited lecture at the Institute of Statistical Mathematics, Tokyo, Japan, December 7 2007. [ bib ]
[11] Friedrich Leisch. R behind the scenes: Using S the (un)usual way. Invited lecture at the Institute of Statistical Mathematics, Tokyo, Japan, December 7 2007. [ bib ]
[12] Friedrich Leisch. Finite mixtures of generalized linear regression models. Invited lecture at the Institute of Statistical Mathematics, Tokyo, Japan, December 6 2007. [ bib ]
[13] Friedrich Leisch. Unsicherheit und Methodenpluralität: Warum sind Antworten der Statistik selten eindeutig? Invited talk at “Uneindeutigkeit als Herausforderung, Workshop LMU Munich, Germany”, November 2-3 2007. [ bib ]
[14] Friedrich Leisch. Statistik im 21. Jahrhundert: rechnergestützt oder rechnerbasiert? Invited lecture at Technische Universität Wien, Austria, October 19 2007. [ bib ]
[15] Friedrich Leisch. R behind the scenes: Using S the (un)usual way. Invited talk at “56th Session of the ISI, Lisbon, Portugal”, August 23-29 2007. [ bib ]
[16] Friedrich Leisch. R behind the scenes: Using S the (un)usual way. Invited lecture at Charles University, Prague, Czech Republic, June 15 2007. [ bib ]
[17] Friedrich Leisch. Sweave: Dynamische und reproduzierbare statistische Dokumente. Invited lecture at Technische Universität Dortmund, Germany, May 9 2007. [ bib ]
[18] Friedrich Leisch. R behind the scenes: Using S the (un)usual way. Presented at “Statistik unter einem Dach (DagStat) 2007”, Bielefeld, Germany, March 27-30 2007. [ bib ]
[19] Friedrich Leisch. New developments in cluster analysis for market segmentation. Invited lecture at University of Wollongong, Australia, March 14 2007. [ bib ]
[20] Friedrich Leisch. Flexible implementations of cluster analysis and mixture models. Presented at “Directions in Statistical Computing DSC 2007”, Auckland, New Zealand, February 15-16 2007. [ bib ]
[21] Friedrich Leisch. R: Open and extensible software for statistical data analysis. Invited lecture at “Systems Architecture for Statistical Applications”, Royal Statistical Society, London, UK, January 25 2006. [ bib ]
[22] Friedrich Leisch. Modellierung unbeobachteter Gruppen in Daten. Invited lecture in seminar series “Wissenswertes aus der Mathematik”, Technische Universität Wien, Austria, April 3 2006. [ bib ]
[23] Friedrich Leisch. Benchmarking cluster algorithms. Lecture in President's Invited Session at “IFCS2006: Data Science and Classification”, Ljubljana, Slovenia, July 25-29 2006. [ bib ]
[24] Friedrich Leisch. Visualizing cluster analysis and finite mixture models. Presented at “Data and Information Visualization Workshop 2006”, Humboldt Universität Berlin, Germany, August 24-25 2006. [ bib ]
[25] Friedrich Leisch and Bettina Grün. Extending standard cluster algorithms to allow for group constraints. Presented at “Compstat 2006”, Rome, Italy, August 28 - September 1 2006. [ bib ]
[26] Friedrich Leisch and Theresa Scharl. Analysis of genomic data with R and Bioconductor. Invited tutorial at “6th European Symposium on Biochemoial Engineering Science, August 27-30 2006. [ bib ]
[27] Friedrich Leisch and Martin Theus. Computational statistics / statistical computing. Invited lecture at “Statistical Computing 2006”, Schloß Reisensburg, Günzburg, Germany, June 25-28 2006. [ bib ]
[28] Friedrich Leisch and Achim Zeileis. Benchmarking cluster algorithms. Presented at the “30th Annual Conference of the German Classification Society (GfKl)”, Berlin, Germany, March 8-10 2006. [ bib ]
[29] Friedrich Leisch. Finite Mischungen von Regressionsmodellen und ihre Anwendung in R. Invited lecture at Universität Bielefeld, Germany, April 25 2005. [ bib ]
[30] Friedrich Leisch. Modellierung unbeobachteter Heterogenität in Regressionsmodellen. Habilitationskolloquium, Technische Universität Wien, Austria, June 29 2005. [ bib ]
[31] Friedrich Leisch. Reproducible statistical research using R. Presented at “Statistical Computing 2005”, Schloß Reisensburg, Günzburg, Germany, July 3-6 2005. [ bib ]
[32] Friedrich Leisch. Wählerstromanalysen mit Mischmodellen. Lecture for the Austrian Statistical Society, Vienna, Austria, October 17 2005. [ bib | .pdf ]
[33] Friedrich Leisch. R: The language, common pitfalls & underused features. Invited lecture at “Robust Statistics and R”, Treviso, Italy, October 26-28 2005. [ bib ]
[34] Torsten Hothorn and Friedrich Leisch. Computational aspects of statistical model specification and implementation. Presented at “Statistical Computing 2004”, Schloß Reisensburg, Günzburg, Germany, July 4-7 2004. [ bib ]
[35] Friedrich Leisch. FlexMix: A general framework for finite mixtures of regression models in R. Presented at “Computational Management Sclence Conference”, Neuchâtel, Switzerland, April 2-5 2004. [ bib ]
[36] Friedrich Leisch. S4 classes and methods. Keynote lecture at “useR! 2004”, Vienna, Austria, May 20-22 2004. [ bib ]
[37] Friedrich Leisch. Exploring the structure of mixture model components. Presented at “Compstat 2004”, Prague, Czech Republic, August 22-27 2004. [ bib ]
[38] Friedrich Leisch. R: Free software for statistical data analysis and graphics. Invited lecture at “Computational Data Analysis and Modelling CDAM 2004”, Minsk, Belarus, September 7-10 2004. [ bib ]
[39] Friedrich Leisch. Finite Mischungen von Regressionsmodellen und ihre Anwendung in R. Invited lecture at Ludwig-Maximilians-Universität München, Germany, November 13 2004. [ bib ]
[40] Kurt Hornik and Friedrich Leisch. R history and development. Presented at “XploRe & R Developers Workshop”, Hejnice, Czech Republic, February 1-3 2003. [ bib ]
[41] Friedrich Leisch. Computations on text document objects using R. Presented at “XploRe & R Developers Workshop”, Hejnice, Czech Republic, February 1-3 2003. [ bib ]
[42] Friedrich Leisch. Sweave and beyond: Computations on text documents. Presented at “DSC 2003-Third International Workshop on Distributed Statistical Computing”, Vienna, Austria, March 20-22 2003. [ bib ]
[43] Friedrich Leisch. FlexMix: A general framework for finite mixtures of regression models in R. Presented at “Statistical Computing 2003”, Schloß Reisensburg, Günzburg, Germany, June 29-July 2 2003. [ bib ]
[44] Friedrich Leisch. Trellis-style displays with a graph layout in R. Presented at the “Workshop on Statistical Inference, Computing and Visualization for Graphs”, Stanford University, CA, USA, August 1-2 2003. [ bib ]
[45] Friedrich Leisch. FlexMix: A general framework for finite mixtures of regression models in R. Presented at “Joint Statistical Meetings (JSM 2003)”, San Francisco, USA, August 3-7 2003. [ bib ]
[46] Friedrich Leisch. R classes and methods for graphs. Invited talk at “gR 2003-Computational Aspects of Graphical Models”, Aalborg, Denmark, September 17-20 2003. [ bib ]
[47] Friedrich Leisch. FlexMix: A general framework for finite mixtures of regression models in R. Presented at “Österreichische Statistiktage 2003”, Vienna, Austria, October 29-31 2003. [ bib ]
[48] Sara Dolnicar and Friedrich Leisch. Testing for structural change over time of brand attribute perceptions in market segments. Presented at the “C. Warren neal Conference on Statistical Data Mining and Knowledge Discovery”, Knoxville, TN, USA, June 22-25 2002. [ bib | .pdf ]
[49] Friedrich Leisch. Extensible formats for data analysis, documentation, and simulation control. Invited talk at “Joint Statistical Meetings (JSM 2002)”, New York, USA, August 11-15 2002. [ bib | .pdf ]
[50] Friedrich Leisch. Sweave: Dynamic generation of statistical reports using literate data analysis. Presented at “Compstat 2002”, Berlin, Germany, August 24-28 2002. [ bib ]
[51] Friedrich Leisch. Sweave: Dynamic generation of statistical reports using literate data analysis. Presented at `Österreichische Statistiktage 2002”, Vienna, Austria, October 23-25 2002. [ bib ]
[52] Friedrich Leisch and Sara Dolnicar. Business statistics with R: Free software for marketing data analysis. Presented at “Marketing Science 2002”, Edmonton, Canada, June 27-30 2002. [ bib | .pdf ]
[53] Sara Dolnicar and Friedrich Leisch. Structural stability of market segments-a comparative evaluation of mixture models and resample-and-combine techniques. Presented at “Marketing Science 2001”, Wiesbaden, Germany, July 5-8 2001. [ bib ]
[54] Friedrich Leisch. Activities of the Center for Computational Intelligence, Vienna University of Technology. Invited talk at KES Centre, University of South Australia, Adelaide, Australia, February 16 2001. [ bib ]
[55] Friedrich Leisch and Sara Dolnicar. Structural stability of market segmentation using binary data. Presented at “Mixtures 2001: Recent Developments in Mixture Modelling”, Hamburg, Germany, July 23-28 2001. [ bib ]
[56] Friedrich Leisch and Sara Dolnicar. Behavioral market segmentation of binary guest survey data with bagged clustering. Presented at “International Conference on Artificial Neural Networks (ICANN)”, Vienna, Austria, August 21-25 2001. [ bib | .pdf ]
[57] Sara Dolnicar and Friedrich Leisch. Behavioral market segmentation using the bagged clustering approach based on binary guest survey data - exploring and visualizing unobserved heterogeneity. Presented at “The Second Symposium on the Consumer Psychology of Tourism, Hospitality, and Leisure (CPTHL)”, Vienna, Austria, July 6-8 2000. [ bib ]
[58] Friedrich Leisch. R: Ein freies Paket für Datenanalyse und statistische Graphik. Invited lecture at Universität Dortmund, Dortmund, Germany, January 11 2000. [ bib | .pdf ]
[59] Friedrich Leisch. Segmentierung von Marketing-Daten durch Kombinationsverfahren: Beispiele aus dem Tourismus. Invited lecture at “Zürcher Kolloquium über anwendungsorientierte Statistik”, University and ETH Zürich, Switzerland, June 22 2000. [ bib | .pdf ]
[60] Friedrich Leisch. Modellierung von Zeitreihen mit neuralen Netzen . Invited lecture at “Seminar über Statistik”, University and ETH Zürich, Switzerland, June 23 2000. [ bib | .pdf ]
[61] Friedrich Leisch and Erich Neuwirth. R: ein statistisches Programmpaket auf mehreren Plattformen. Arbeitskreis Statistische Datenverarbeitung, Österreichische Statistische Gesellschaft, Wien, Austria, June 21 2000. [ bib ]
[62] Friedrich Leisch. R: Ein freies Paket für statistische Datenanalyse. Presented at “Österreichische Statistik-Tage”, Wien, Austria, April 7-9 1999. [ bib ]
[63] Friedrich Leisch. Stabilization of k-means with bagged clustering. Presented at “Joint Statistical Meetings (JSM 99)”, Baltimore, Maryland, USA, August 8-12 1999. [ bib ]
[64] Friedrich Leisch. On the stationarity of autoregressive neural network models. Presented at “CoWAN 98: Cottbuser Workshop Aspekte Neuronalen Lernens”, Cottbus, Germany, October 5-7 1998. [ bib ]
[65] Friedrich Leisch. Stationarity and stability of autoregressive neural network processes. Presented at “Neural Information Processing Systems (NIPS) 12”, Denver, Colorado, USA, December 1-3 1998. [ bib ]
[66] Friedrich Leisch. Online-Erkennung von Strukturbrüchen durch gleitende Schätzer. Presented at “Österreichische Statistik-Tage”, Wien, Austria, April 2-4 1997. [ bib ]
[67] Friedrich Leisch. Adaptive bootstrapping for neural network voting classifiers. Presented at “Bootstrap und nichtparametrische Regression”, Berlin, Germany, April 10-13 1997. [ bib ]
[68] Friedrich Leisch. Combining neural network voting classifiers and error correcting output codes. Presented at “Measurement 97”, Smolenice, Slowakia, May 29-31 1997. [ bib ]
[69] Friedrich Leisch. Monitoring with the generalized fluctuation test. Presented at “The 3rd North American IMS Conference of New Researchers in Statistics and Probability”, Laramie, Wyoming, USA, July 23-26 1997. [ bib ]
[70] Friedrich Leisch. Enhancing the performance of flexible classifiers by error dependent arcing and error correcting codes. Presented at “The 60th IMS Annual Meeting”, Park City, Utah, USA, July 27-31 1997. [ bib ]
[71] Friedrich Leisch. Neural networks. Invited talk at “European Courses in Advanced Statistics: Time Series Analysis”, El Escorial, Madrid, Spain, September 15-19 1997. [ bib ]
[72] Friedrich Leisch. Adaptive resampling for artificial neural network classifiers. Invited talk at Slovak Academy of Sciences, Bratislava, Slovakia, July 19 1996. [ bib ]
[73] Friedrich Leisch. Verbesserung der Leistung von NN Klassifizierern durch Resampling. Presented at “Herbstschule für Konnektionismus und Neurale Netze (HeKoNN) 96”, Münster, Germany, October 2-6 1996. [ bib ]
[74] Friedrich Leisch. ARC-LH: A new adaptive resampling algorithm for improving ANN classifiers. Presented at “Neural Information Processing Systems (NIPS) 10”, Denver, Colorado, USA, December 3-5 1996. [ bib ]
[75] Friedrich Leisch and Kurt Hornik. Improving classifier performance by adaptive resampling. Presented at “The potential of neuro-computing in regional science”, IIASA, Laxenburg (Austria), September 11-12 1996. [ bib ]
[76] Friedrich Leisch. Performance measures for NN-classifiers. Presented at “ETD2000”, Adelaide, Australia, May 1995. [ bib ]
[77] Friedrich Leisch. Cross-validation with active pattern selection. Invited talk at University of South Australia, Adelaide, Australia, September 3 1995. [ bib ]

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