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Random sets from the perspective of metric statistics

Daisuke Kurisu, Yuta Okamoto, Taisuke Otsu

arXiv 17 Nov 2025 · Mathematics — Statistics Theory

arXiv:2511.13440 · PDF · DOI · OpenAlex · Extracted main text

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 Fréchet means, and presents some applications of metric statistics to econometric problems involving random sets.

Citation extraction

27
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47
in-text mentions
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distinct cited
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main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Beresteanu, Arie and Molinari, Francesca (2008) Asymptotic properties for a class of partially identified models1.00064100%
2Petersen, Alexander and Müller, Hans-Georg (2019) Fréchet regression for random objects with Euclidean predictors0.8435360%
3Kurisu, Daisuke and Zhou, Yidong and Otsu, Taisuke and Müller, Hans-… (2024) Geodesic causal inference self0.7375260%
4Dubey, Paromita and Chen, Yaqing and Müller, Hans-Georg (2024) Metric statistics: Exploration and inference for random objects with distance profiles0.73732100%
5Molchanov, Ilya (2017) Theory of Random Sets0.73732100%
6Kurisu, Daisuke and Zhou, Yidong and Otsu, Taisuke and Müller, Hans-… (2025) Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces self0.64422100%
7Molinari, Francesca (2020) Microeconometrics with partial identification0.64422100%
8Molchanov, Ilya and Molinari, Francesca (2018) Random Sets in Econometrics0.64422100%
9Aumann, R J (1965) Integrals of set valued functions0.40511100%
10Bhattacharjee, Satarupa and Li, Bing and Wu, Xiao and Xue, Lingzhou (2025) Doubly robust estimation of causal effects for random object outcomes with continuous treatments0.40511100%

Showing the top 10 of 27 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Lee bounds for random objects0.73732