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Gruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 11
2019
Plass, Julia; Cattaneo, Marco E. G.; Augustin, Thomas; Schollmeyer, Georg und Heumann, Christian
(2019):
Reliable Inference in Categorical Regression Analysis for Non-randomly Coarsened Observations.
In: International Statistical Review, Bd. 87, Nr. 3: S. 580-603
2017
Plass, Julia; Cattaneo, Marco E. G. V.; Augustin, Thomas; Schollmeyer, Georg und Heumann, Christian
(28. November 2017):
Towards a reliable categorical regression analysis for non-randomly coarsened observations: An analysis with German labour market data.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 866kB]
Plass, Julia; Cattaneo, Marco E. G. V.; Schollmeyer, Georg und Augustin, Thomas
(22. März 2017):
On the testability of coarsening assumptions: A hypothesis test for subgroup independence.
Department of Statistics: Technical Reports, Nr. 201
[PDF, 1MB]
Plass, Julia; Omar, Aziz und Augustin, Thomas
(2017):
Towards a Cautious Modelling of Missing Data in Small Area Estimation.
Tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’17), Lugano, July 10-14, 2017.
Antonucci, Alessandro; Corani, Giorgio und Inés, Couso (Hrsg.):
Proceedings of Machine Learning Research.
Bd. 62
PMLR. S. 253-264
Plass, Julia; Cattaneo, Marco; Schollmeyer, Georg und Augustin, Thomas
(2017):
On the testability of coarsening assumptions: A hypothesis test for subgroup independence.
In: International Journal of Approximate Reasoning, Bd. 90: S. 292-306
Plass, Julia; Omar, Aziz und Augustin, Thomas
(2017):
Towards a Cautious Modelling of Missing Data in Small Area Estimation.
Tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’17), Lugano, Switzerland, July 10-14, 2017.
Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sebastien (Hrsg.):
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications.
Bd. 62
PMLR. S. 253-264
Plass, Julia; Cattaneo, Marco E. G. V.; Schollmeyer, Georg und Augustin, Thomas
(2017):
Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence.
In: Soft Methods for Data Science, Bd. 456: S. 415-422
2016
Plass, Julia; Cattaneo, Marco E.G.V.; Schollmeyer, Georg und Augustin, Thomas
(2016):
Testing of coarsening mechanisms: Coarsening at random versus subgroup independence.
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Ferraro, Maria Brigida; Giordani, Paolo; Vantaggi, Barbara; Gagolewski, Marek; Gil, María Ángeles; Grzegorzewski, Przemyslaw und Hryniewicz, Olgierd (Hrsg.):
In: Advances in Intelligent Systems and Computing,
SMPS. S. 415-422
2015
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]
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
Plass, Julia; Augustin, Thomas; Cattaneo, Marco E.G.V und Schollmeyer, Georg
(2015):
Statistical Modelling under Epistemic Data Imprecision: Some Results on Estimating Multinomial Distributions and Logistic Regression for Coarse Categorical Data.
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. 247-256