On the representation theorem for exchangeable arrays
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- Ricardo Vélez & Tomás Prieto-Rumeau, 2015. "Random assignment processes: strong law of large numbers and De Finetti theorem," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(1), pages 136-165, March.
- Davezies, Laurent & D’Haultfœuille, Xavier & Guyonvarch, Yannick, 2022. "The Marcinkiewicz–Zygmund law of large numbers for exchangeable arrays," Statistics & Probability Letters, Elsevier, vol. 188(C).
- Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
- Paolo Leonetti, 2018. "Finite Partially Exchangeable Laws Are Signed Mixtures of Product Laws," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(2), pages 195-214, August.
- Nan Liu & Yanbo Liu & Yuya Sasaki, 2024. "Estimation and Inference for Causal Functions with Multiway Clustered Data," Papers 2409.06654, arXiv.org.
- Porta Mana, PierGianLuca, 2018. "Quantum theory within the probability calculus: a there-you-go theorem and partially exchangeable models," OSF Preprints m38x6, Center for Open Science.
- Olav Kallenberg, 1999. "Multivariate Sampling and the Estimation Problem for Exchangeable Arrays," Journal of Theoretical Probability, Springer, vol. 12(3), pages 859-883, July.
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Keywords
separate joint exchangeability measure preserving transformations shell tail [sigma]-fields conditional independence orthogonal expansions;Statistics
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