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An Abstract Law of Large Numbers

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Abstract

We study independent random variables (Zi)iI aggregated by integrating with respect to a nonatomic and finitely additive probability ν over the index set I. We analyze the behavior of the resulting random average \({\int }_I Z_i d\nu (i)\). We establish that any ν that guarantees the measurability of \({\int }_I Z_i d\nu (i)\) satisfies the following law of large numbers: for any collection (Zi)iI of uniformly bounded and independent random variables, almost surely the realized average \({\int }_I Z_i d\nu (i)\) equals the average expectation \({\int }_I E[Z_i]d\nu (i)\).

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References

  • Al-Najjar, N.I. (2008). Large games and the law of large numbers. Games Econom. Behav.64, 1, 1–34.

    Article  MathSciNet  Google Scholar 

  • Berti, P. and Rigo, P. (2006). Finitely additive uniform limit theorems. Sankhyā: The Indian Journal of Statistics (2003–2007)68, 1, 24–44.

    MathSciNet  MATH  Google Scholar 

  • Christensen, J.P.R. (1971). Borel structures and a topological zero-one law. Math. Scand.29, 2, 245–255.

    Article  MathSciNet  Google Scholar 

  • Christensen, J.P.R. (1974). Topology and Borel structure. North Holland, Amsterdam.

  • Dalal, S. (1978). A note on the adequacy of mixtures of Dirichlet processes. Sankhyā: The Indian Journal of Statistics, Series A (1961–2002)40, 2, 185–191.

    MathSciNet  MATH  Google Scholar 

  • Feldman, M. and Gilles, C. (1985). An expository note on individual risk without aggregate uncertainty. J. Econ. Theory35, 1, 26–32.

    Article  MathSciNet  Google Scholar 

  • Fisher, A. (1987). Convex-invariant means and a pathwise central limit theorem. Adv. Math.63, 3, 213–246.

    Article  MathSciNet  Google Scholar 

  • Fremlin, D.H. and Talagrand, M. (1979). A decomposition theorem for additive set-functions, with applications to Pettis integrals and ergodic means. Mathematische Zeitschrift168, 2, 117–142.

    Article  MathSciNet  Google Scholar 

  • Gangopadhyay, S. and Rao, B.V. (1999). On the hewitt-savage zero one law in the strategic setup. Sankhyā: The Indian Journal of Statistics, Series A, 153–165.

  • Gilboa, I. and Matsui, A. (1992). A model of random matching. J. Math. Econ.21, 2, 185–197.

    Article  MathSciNet  Google Scholar 

  • Judd, K.L. (1985). The law of large numbers with a continuum of iid random variables. J. Econ. Theory35, 1, 19–25.

    Article  MathSciNet  Google Scholar 

  • Kadane, J.B. and O’Hagan, A. (1995). Using finitely additive probability: uniform distributions on the natural numbers. J. Am. Stat. Assoc.90, 430, 626–631.

    Article  MathSciNet  Google Scholar 

  • Kallianpur, G. and Karandikar, R.L. (1988). White Noise Theory of Prediction, Filtering and Smoothing, 3. CRC Press, Boca Raton.

    MATH  Google Scholar 

  • Kamae, T., Krengel, U. and O’Brien, G.L. (1977). Stochastic inequalities on partially ordered spaces. The Annals of Probability5, 6, 899–912.

    Article  MathSciNet  Google Scholar 

  • Karandikar, R.L. (1982). A general principle for limit theorems in finitely additive probability. Trans. Am. Math. Soc.273, 2, 541–550.

    Article  MathSciNet  Google Scholar 

  • Larson, P.B. (2009). The filter dichotomy and medial limits. J. Math. Log.9, 02, 159–165.

    Article  MathSciNet  Google Scholar 

  • Maharam, D. (1976). Finitely additive measures on the integers. Sankhyā: The Indian Journal of Statistics, Series A (1961–2002)38, 1, 44–59.

    MathSciNet  MATH  Google Scholar 

  • Meyer, P.-A. (1973). Limites médiales, d’après Mokobodzki, Séminaire de probabilités VII. Springer, Berlin, p. 198–204.

    Google Scholar 

  • Nutz, M. et al. (2012). Pathwise construction of stochastic integrals. Electron. Commun. Probab., 17.

  • Paul, E. (1962). Density in the light of probability theory. Sankhyā: The Indian Journal of Statistics, Series A (1961–2002)24, 2, 103–114.

    MathSciNet  MATH  Google Scholar 

  • Purves, R. and Sudderth, W. (1983). Finitely additive zero-one laws. Sankhyā: The Indian Journal of Statistics, Series A (1961–2002)45, 1, 32–37.

    MathSciNet  MATH  Google Scholar 

  • Uhlig, H. (1996). A law of large numbers for large economies. Econ. Theory8, 1, 41–50.

    Article  MathSciNet  Google Scholar 

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Correspondence to Luciano Pomatto.

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Al-Najjar, N.I., Pomatto, L. An Abstract Law of Large Numbers. Sankhya A 82, 1–12 (2020). https://doi.org/10.1007/s13171-018-00162-z

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  • DOI: https://doi.org/10.1007/s13171-018-00162-z

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