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On the Regularities of Mass Random Phenomena

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Continuous and Distributed Systems

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 211))

Abstract

This note presents a not very well known result concerning the frequentist origins of probability. This result provides a positive answer to the question of existence of statistical regularities of so called random in a broad sense mass phenomena, using the terminology of A. N. Kolmogorov [20]. It turns out, that some closed in weak-\(*\) topology family of finitely-additive probabilities plays the role of the statistical regularity of any such phenomenon. If the mass phenomenon is stochastic, then this family degenerates into a usual countably-additive probability measure. The note provides precise definitions, the formulation and the proof of the theorem of existence of statistical regularities, as well as the examples of their application.

Valery A. Labkovsky—deceased.

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Notes

  1. 1.

    Remark that the term “nonstochastic” appeared in [27] in the context of Kolmogorov’s complexity, meaning “more complex than stochastic”. In this chapter the meaning of this term is “more random than stochastic”.

  2. 2.

    I am thankful to professor Vladimir Vovk who made me familiar with the works of professor Terrence Fine and, in particular, with this chapter.

References

  1. Avellaneda, M., Levy, A., Paras, A.: Pricing and hedging derivative securities in markets with uncertain volatilities. Appl. Math. Financ. 2, 73–88 (1995)

    Article  Google Scholar 

  2. Borel, E.: Probabilité et Cértitude. Presse Universitaire de France, Paris (1956)

    Google Scholar 

  3. Calvet, L.E., Fisher, A.J., Thompson, S.B.: Volatility comovement: a multifrequency approach. J. Econometrics. 131, 179–215 (2006)

    Article  MathSciNet  Google Scholar 

  4. Fierens, P., Rego, L., Fine, T.: A frequentist understanding of sets of measures. J. Stat. Plan. Infer. 139, 1879–1892 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  5. Gilboa, I., Schmeidler, D.: Maxmin expected utility with nonunique prior. J. Math. Econ. 18, 141–153 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  6. Heston, S.L.: A closed-form solution for options with stochastic volatility with applications to bond and currency Options. Rev. Financ. Stud. 6(2), 327–343 (1993)

    Article  Google Scholar 

  7. Huber, P.J.: Robust Statistics. Wiley, New York (1981)

    Book  MATH  Google Scholar 

  8. Ivanenko, V.I., Labkovskii, V.A.: On the functional dependence between the available information and the chosen optimality principle. Proceedings of the International conference on Stochastic Optimisation. In: Lecture Notes in Control and Information SciencesKiev, pp. 388–392. Springer-Verlag, Berlin (1986)

    Google Scholar 

  9. Ivanenko, Y., Munier, B.: Price as a choice under nonstochastic randomness in finance. Risk and Decision Analysis (2012) (forthcoming)

    Google Scholar 

  10. Ivanenko, V.I.: Decision systems and nonstochastic randomness. Springer, Dordrecht (2010)

    Google Scholar 

  11. Ivanenko, V.I., Khokhel, O.A.: Problems of stabilization of the parameters of artificially generated random processes. Avtomatika i telemehanika. 6, 32–41 (1968)

    Google Scholar 

  12. Ivanenko, V.I., Labkovskii, V.A.: On one kind of uncertainty. Sov. Phys. Dokl. 24(9), 705–706 (1979)

    MATH  Google Scholar 

  13. Ivanenko, V.I., Labkovskii, V.A.: A class of criterion-choosing rules. Sov. Phys. Dokl. 31(3), 204–205 (1986)

    MathSciNet  MATH  Google Scholar 

  14. Ivanenko, V.I., Labkovskii, V.A.: A model of non-stochastic randomness. Sov. Phys. Dokl. 35(2), 113–114 (1990)

    MathSciNet  MATH  Google Scholar 

  15. Ivanenko, V.I., Labkovsky, V.A.: Uncertainty problem in decision making [in Russian]. Naukova Dumka, Kyiv (1990)

    Google Scholar 

  16. Ivanenko, V.I., Munier, B.: Decision Making in “Random in a Broad Sense” Environments. Theor. decis. 49(2), 127–150 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  17. Jarvik, M.E.: Probability learning and a negative recency effect in the serial anticipation of alternative symbols. J. Exp. Psychol. 41, 291–297 (1951)

    Article  Google Scholar 

  18. Kelley, J.L.: General Topology. D. Van Nostrand Company. Inc. Princeton, New Jersey (1957)

    Google Scholar 

  19. Khinchin, A.Y.: The frequentist theory of Richard von Mises and contemporary ideas in probability theory. I. Vop. philosophii. 1, 91–102 (1961)

    Google Scholar 

  20. Kolmogorov, A.N.: On the logical foundation of probability theory. Probability Theory and Mathematical Statistics, pp. 467–471. Nauka, Moscow (1986)

    Google Scholar 

  21. Mandelbrot, B., Hudson, R.: The (mis) behavior of markets. Basic Books, New York (2006)

    Google Scholar 

  22. Mikhalevich, V.M.: Parametric decision problems with financial losses. Cybern. Syst. Anal. 47(2), 286–295 (2011)

    Article  MathSciNet  Google Scholar 

  23. Munier, B.: Global Uncertainty and the Volatility of Agricultural Commodity Prices. IOS Press, Amsterdam (2012)

    Google Scholar 

  24. Shafer, G., Vovk, V.: Probability and Finance: It’s Only a Game!. Wiley, New York (2001)

    Book  Google Scholar 

  25. Shapley, S.: Notes on \(n\)-person games. Chap. VII. Cores of Convex Games. RAND Corp, Santa Monica (1955)

    Google Scholar 

  26. Taleb, N.N.: Fooled by Randomness. W. W. Norton, New York (2001)

    Google Scholar 

  27. Vyugin, V.V.: On nonstochastic objects. Prob. Inf. Transm. 21(2), 3–9 (1985)

    MathSciNet  Google Scholar 

  28. Zvonkin, A.K., Levin, L.A.: Complexity of finite objects and justification of notions of information and and randomness by means of the theory of algorithms. Uspehi Matematicheskih Nauk. 25(6), 85–127 (1970)

    MathSciNet  Google Scholar 

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Ivanenko, V.I., Labkovsky, V.A. (2014). On the Regularities of Mass Random Phenomena. In: Zgurovsky, M., Sadovnichiy, V. (eds) Continuous and Distributed Systems. Solid Mechanics and Its Applications, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-03146-0_17

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  • DOI: https://doi.org/10.1007/978-3-319-03146-0_17

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