Method(olog)ische Grundlagen der Statistik und ihre Anwendungen
print


Navigationspfad


Inhaltsbereich

Statistische Methoden

Übersicht

Inferenz mit defizitären Daten

nach oben

Probabilistische Grafische Modelle

nach oben

Rekursive Partitionierung

  • Julia Plass, Paul Fink, Norbert Schöning, and Thomas Augustin. Statistical modelling in surveys without neglecting the undecided: Multinomial logistic regression models and imprecise classification trees under ontic data imprecision. In Thomas Augustin, Serena Doria, Enrique Miranda, and Erik Quaeghebeur, editors, ISIPTA '15, Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications, pages 257–266, Rome, 2015. Aracne.
  • Julia Plaß, Paul Fink, Norbert Schöning, and Thomas Augustin. Statistical modelling in surveys without neglecting “the undecided”: Multinomial logistic regression models and imprecise classification trees under ontic data imprecision - extended version. Technical Report 179, Department of Statistics, LMU Munich, 2015.
  • Paul Fink and Richard Crossman. Entropy based classification trees. In Fabio Cozman, Therry Denœux, Sébastien Destercke, and Teddy Seidfenfeld, editors, ISIPTA '13, Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications, pages 139–147, Manno, 2013. SIPTA.
  • Julia Kopf. Model-based recursive partitioning meets item response theory: New statistical methods for the detection of differential item functioning and appropriate anchor selection. PhD thesis, Department of Statistics, LMU Munich, 2013.
  • Julia Kopf, Thomas Augustin, and Carolin Strobl. The potential of model-based recursive partitioning in the social sciences — Revisiting Ockham's Razor. In John McArdle and Gilbert Ritschard, editors, Contemporary Issues in Exploratory Data Mining, pages 75–95. Routledge, New York, 2013.
  • Paul Fink. Ensemble methods for classification trees under imprecise probabilities. Master's thesis, LMU Munich, 2012.
  • Richard Crossman, Joaquín Abellán, Thomas Augustin, and Frank Coolen. Building imprecise classification trees with entropy ranges. In Frank Coolen, Gert de Cooman, Thomas Fetz, and Michael Oberguggenberger, editors, ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, pages 129–138, Manno, 2011. SIPTA.
  • Julia Kopf, Thomas Augustin, and Carolin Strobl. The potential of model-based recursive partitioning in the social sciences — Revisiting Ockham's Razor. Technical Report 88, Department of Statistics, LMU Munich, 2010.
  • Carolin Strobl, Julia Kopf, and Achim Zeileis. A new method for detecting differential item functioning in the Rasch model. Technical Report 92, Department of Statistics, LMU Munich, 2010.
  • Carolin Strobl, Julia Kopf, and Achim Zeileis. Wissen Frauen weniger oder nur das Falsche? Ein statistisches Modell für unterschiedliche Aufgaben-Schwierigkeiten in Teilstichproben. In Sabine Trepte and Markus Verbeet, editors, Wissenswelten des 21. Jahrhunderts - Erkenntnisse aus dem Studentenpisa-Test des SPIEGEL, pages 255–272. VS Verlag, Wiesbaden, 2010.
  • Carolin Strobl and Thomas Augustin. Adaptive selection of extra cutpoints — an approach towards reconciling robustness and interpretability in classification trees. Journal of Statistical Theory and Practice, 3:119–135, 2009.
  • Anne-Laure Boulesteix, Carolin Strobl, Thomas Augustin, and Martin Daumer. Evaluating microarray–based classifiers: an overview. Cancer Informatics, 6:77–97, 2008.
  • Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, and Achim Zeileis. Conditional variable importance for random forests. BMC Bioinformatics, 9:307–317, 2008.
  • Carolin Strobl, Anne-Laure Boulesteix, and Thomas Augustin. Unbiased split selection for classification trees based on the Gini-index. Computational Statistics and Data Analysis, 52(1):483–501, 2007.

nach oben

Lebensdaueranalyse

nach oben

Statistisches Matching

  • Eva Endres, Paul Fink, and Thomas Augustin. Imprecise imputation for statistical matching. Poster presentation, 2017. ISIPTA '17: Tenth International Symposium on Imprecise Probability: Theories and Applications.
  • Eva Endres and Thomas Augustin. Statistical matching of discrete data by Bayesian networks. In Alessandro Antonucci, Giorgio Corani, and Cassio Polpo de Campos, editors, Journal of Machine Learning Research Workshop and Conference Proceedings (Proceedings of the Eighth International Conference on Probabilistic Graphical Models), volume 52, pages 159–170, 2016.
  • Eva Endres and Thomas Augustin. Probabilistic graphical models for statistical matching. Poster presentation, 2015. ISIPTA '15: Ninth International Symposium on Imprecise Probability: Theories and Applications.

nach oben

Likelihood Inferenz

nach oben

Item-Response Theorie