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Dokumententyp
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Anzahl der Publikationen: 6
Hochschulschrift
Endres, Eva
(2014):
Pre-validation for assessing the added predictive value of high-dimensional molecular data in binary classification.
Masterarbeit,
Ludwig-Maximilians-Universität München
[PDF, 2MB]
[PDF, 2MB]
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; Newger, Katrin und Augustin, Thomas
(23. April 2019):
Binary data fusion using undirected probabilistic graphical models: Combining statisticalmatching and the Ising model.
Department of Statistics: Technical Reports, Nr. 223
[PDF, 481kB]
Endres, Eva und Augustin, Thomas
(17. April 2019):
Utilizing log-linear Markov networks to integrate categorical data files.
Department of Statistics: Technical Reports, Nr. 222
[PDF, 619kB]
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]
Konferenzbeitrag
Endres, Eva und Augustin, Thomas
(2016):
Statistical Matching of Discrete Data by Bayesian Networks.
Eighth International Conference on Probabilistic Graphical Models, Lugano, 6.-9. September 2016.
Antonucci, Alessandro; Corani, Giorgio und Campos, Cassio Polpo de (Hrsg.):
In: Journal of Machine Learning Research Workshop and Conference Proceedings (Proceedings of the Eighth International Conference on Probabilistic Graphical Models),
Bd. 52
S. 159-170