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Anzahl der Publikationen: 7
Buchbeitrag
Couso, Inés und Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.
In:
Frontiers in Computational Intelligence. Studies in Computational Intelligence, Bd. 739. Cham: Springer. S. 31-46
ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.
In:
Frontiers in Computational Intelligence. Studies in Computational Intelligence, Bd. 739. Cham: Springer. S. 31-46
Couso, Inés; Dubois, Didier und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Maximum Likelihood Estimation and Coarse Data.
In: Moral, Serafín; Pivert, Olivier; Sánchez, Daniel und Marín, Nicolás (Hrsg.):
Scalable Uncertainty Management. 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science, Bd. 10564. Cham: Springer. S. 3-16
ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Maximum Likelihood Estimation and Coarse Data.
In: Moral, Serafín; Pivert, Olivier; Sánchez, Daniel und Marín, Nicolás (Hrsg.):
Scalable Uncertainty Management. 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science, Bd. 10564. Cham: Springer. S. 3-16
Konferenzbeitrag
Ahmadi Fahandar, Mohsen; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Couso, Inés
(August 2017):
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.
34th International Conference on Machine Learning, Sydney, Australia.
Precup, Doina und Teh, Yee Whye (Hrsg.):
In: Proceedings of the 34 th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017,
Bd. 70
[PDF, 269kB]
ORCID: https://orcid.org/0000-0002-9944-4108 und Couso, Inés
(August 2017):
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.
34th International Conference on Machine Learning, Sydney, Australia.
Precup, Doina und Teh, Yee Whye (Hrsg.):
In: Proceedings of the 34 th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017,
Bd. 70
[PDF, 269kB]
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
Augustin, Thomas und Seising, Rudolf
(2017):
Kurt Weichselberger's Contribution to Imprecise Probabilities.
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. 13-24
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
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(2017):
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10. - 14. Juli 2017.
Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.):
Proceedings of Machine Learning Research.
Bd. 62
PMLR. S. 181-192