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Maximum Likelihood Estimation and Coarse Data

Couso, Inès and Dubois, Didier and Hüllermeier, Eyke Maximum Likelihood Estimation and Coarse Data. (2017) In: 11th International Conference on Scalable Uncertainty Management (SUM), 4 October 2017 - 6 October 2017 (Granada, Spain).

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Official URL: https://doi.org/10.1007/978-3-319-67582-4_1


The term coarse data encompasses different types of incomplete data where the (partial) information about the outcomes of a random experiment can be expressed in terms of subsets of the sample space. We consider situations where the coarsening process is stochastic, and illustrate with examples how ignoring this process may produce misleading estimations

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 10564 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978- The original PDF is available at: https://doi.org/10.1007/978-3-319-67582-4_1
HAL Id:hal-02626215
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Universidad de Oviedo (SPAIN)
Other partners > Universität Paderborn (GERMANY)
Laboratory name:
Deposited On:25 May 2020 13:05

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