Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities

Author:

Jansen Christoph,Schollmeyer Georg,Augustin Thomas

Publisher

Springer International Publishing

Reference60 articles.

1. Antonucci, A., Corani, G., Couso, I., and S. Destercke. eds. 2017. Proceedings of the tenth international symposium on imprecise probability: theories and applications (ISIPTA ’17, Lugano), vol 62. Proceedings of machine learning research, PMLR.

2. Augustin, T. 2003. On the suboptimality of the generalized Bayes rule and robust Bayesian procedures from the decision theoretic point of view: a cautionary note on updating imprecise priors. In Proceedings of the third international symposium on imprecise probability: theories and applications (ISIPTA ’03, Lugano), eds. Bernard, J.-M., Seidenfeld, T., and Zaffalon, M., 31–45. Ottawa: Carleton Scientific.

3. Augustin, T., Coolen, F., De Cooman, G., and M. Troffaes. eds. 2014. Introduction to imprecise probabilities. Chichester: Wiley.

4. Bradley, S. 2015. How to choose among choice functions. In Proceedings of the ninth international symposium on imprecise probability: theories and applications (ISIPTA ’15, Pescara), eds. Augustin, T., Doria, S., Miranda, E., and E. Quaeghebeur, 57–66. Rome: Aracne.

5. Bradley, S. 2019. Imprecise probabilities. In The Stanford encyclopedia of philosophy (Spring 2019 Edition). Available via https://plato.stanford.edu/archives/spr2019/entries/imprecise-probabilities/. Last access February 20th, 2022.

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