A Maximum Likelihood Approach to Inference Under Coarse Data Based on Minimax Regret

Romain Guillaume, Didier Dubois. A Maximum Likelihood Approach to Inference Under Coarse Data Based on Minimax Regret. In Sébastien Destercke, Thierry Denoeux, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors, Uncertainty Modelling in Data Science, SMPS 2018, Compiègne, France, 17-21 September 2018. Volume 832 of Advances in Intelligent Systems and Computing, pages 99-106, Springer, 2018. [doi]

Abstract

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