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Theory of Probability and Mathematical Statistics



Multivariate statistical experiments with persistent non-linear regression and equilibrium

D. V. Koroliouk

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Abstract: A sequence of multivariate statistical experiments with persistent non-linear regression is considered. This sequence is determined by a matrix of directing actions for frequencies of certain attributes. Conditions for the convergence of multivariate statistical experiments to a state of equilibrium are studied. A stochastic approximation by an autoregressive process with normal perturbations is constructed for the discrete time model.

Keywords: Multivariate statistical experiments, regression function, equilibrium, stochastic approximation

Bibliography:
1. D. V. Koroliouk, Binary repeating statistical experiments with persistent linear regression, Ukr. Matem. Vestnik 10 (2013), no. 4, 497-506. (Russian)
2. D. V. Koroliouk, Two component binary statistical experiments with persistent linear regression, Teor. Ĭmovir. Mat. Stat. 90 (2014), 91-101; English transl. in Theor. Probability and Math. Statist. 90 (2015), 103-114.
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