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Random sets from the perspective of metric statistics

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  • Daisuke Kurisu
  • Yuta Okamoto
  • Taisuke Otsu

Abstract

Since the seminal work by Beresteanu and Molinari(2008), the random set theory and related inference methods have been widely applied in partially identified econometric models. Meanwhile, there is an emerging field in statistics for studying random objects in metric spaces, called metric statistics. This paper clarifies a relationship between two fundamental concepts in these literatures, the Aumann and Fr\'echet means, and presents some applications of metric statistics to econometric problems involving random sets.

Suggested Citation

  • Daisuke Kurisu & Yuta Okamoto & Taisuke Otsu, 2025. "Random sets from the perspective of metric statistics," Papers 2511.13440, arXiv.org.
    • Handle: RePEc:arx:papers:2511.13440
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    File URL: http://arxiv.org/pdf/2511.13440
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