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Dokumententyp
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Anzahl der Publikationen: 8
Hochschulschrift
Fink, Paul
(2012):
Ensemble methods for classification trees under imprecise probabilities.
Masterarbeit,
Ludwig-Maximilians-Universität München
[PDF, 555kB]
[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]
[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