Abstract
For models of binary deterministic statistical experiments defined recursively by solutions of deterministic difference equations for probabilities of alternatives of binary states, a classification is investigated that depends on the parameter values of a guiding action that determine regression functions of probability increments for such alternatives. The classification is substantiated by limit properties of solutions to deterministic difference equations generating probabilities of alternatives.
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Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 163–168, July–August, 2015.
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Koroliouk, D.V. Classification of Binary Deterministic Statistical Experiments with Persistent Regression. Cybern Syst Anal 51, 644–649 (2015). https://doi.org/10.1007/s10559-015-9755-4
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DOI: https://doi.org/10.1007/s10559-015-9755-4