Abstract
The objective of this paper is to develop a set of reliable methods to build confidence sets for the Aumann mean of a random closed set estimated through the Minkowski empirical mean. In order to do so, we introduce a procedure to build a confidence set based on Weil’s result for the Hausdorff distance between the empirical and the Aumann means; then, we introduce another procedure based on the support function.
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Seri, R., Choirat, C. (2004). Confidence Sets for the Aumann Mean of a Random Closed Set. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_31
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DOI: https://doi.org/10.1007/978-3-540-24767-8_31
Publisher Name: Springer, Berlin, Heidelberg
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