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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 8

Hochschulschrift

Fink, Paul (2012): Ensemble methods for classification trees under imprecise probabilities. Masterarbeit, Ludwig-Maximilians-Universität München
[PDF, 555kB]

Fink, Paul (2009): K-Ward-microaggregated data in linear models – An analytical approach to obtain unbiased estimators under anonymized data. Bachelorarbeit, Ludwig-Maximilians-Universität München
[PDF, 560kB]

Zeitschriftenartikel

Endres, Eva; Fink, Paul und Augustin, Thomas (2019): Imprecise Imputation: A Nonparametric Micro Approach Reflecting the Natural Uncertainty of Statistical Matching with Categorical Data. In: Journal of Official Statistics, Bd. 35, Nr. 3: S. 599-624

Paper

Endres, Eva; Fink, Paul und Augustin, Thomas (28. Februar 2018): Imprecise Imputation: A Nonparametric Micro Approach Reflecting the Natural Uncertainty of Statistical Matching with Categorical Data. Department of Statistics: Technical Reports, Nr. 214 [PDF, 629kB]

Plass, Julia; Fink, Paul; Schöning, Norbert und Augustin, Thomas (10. März 2015): Statistical Modelling in Surveys without Neglecting "The Undecided": Multinomial Logistic Regression Models and Imprecise Classification Trees under Ontic Data Imprecision - extended version. Department of Statistics: Technical Reports, Nr. 179 [PDF, 601kB]

Konferenzbeitrag

Fink, Paul und Augustin, Thomas (2017): (Generalized) Linear Regression on Microaggregated Data. From Nuisance Parameter Optimization to Partial Identification. Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10 - 14 July 2017. Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.): Bd. 62 PMLR. S. 157-168

Plass, Julia; Fink, Paul; Schöning, Norbert und Augustin, Thomas (2015): Statistical Modelling in Surveys without Neglecting the Undecided: Multinomial Logistic Regression Models and Imprecise Classification Trees under Ontic Data Imprecision. Ninth International Symposium on Imprecise Probability: Theories and Applications, Pescara, 20.-24. Juli 2015. Augustin, Thomas; Doria, Serena; Miranda, Enrique und Quaeghebeur, Erik (Hrsg.): In: ISIPTA '15, Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications, SIPTA. S. 257-266

Fink, Paul und Crossman, Richard J. (2013): Entropy based classification trees. Eighth International Symposium on Imprecise Probability: Theories and Applications, Compiègne, 2.-5. Juli 2013. Cozman, Fabio; Denoeux, Thierry; Destercke, Sebastien und Seidfenfeld, Teddy (Hrsg.): In: ISIPTA '13: Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications, Compiègne: SIPTA. S. 139-147

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