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Theory of Probability and Mathematical Statistics

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Impact of the stress factor on the price of widow’s pensions. Proofs


Authors: V. V. Golomozyĭ, M. V. Kartashov and Yu. M. Kartashov
Translated by: S. Kvasko
Journal: Theor. Probability and Math. Statist. 92 (2016), 17-22
MSC (2010): Primary 60J45; Secondary 60A05, 60K05
DOI: https://doi.org/10.1090/tpms/979
Published electronically: August 10, 2016
MathSciNet review: 3553423
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Abstract | References | Similar Articles | Additional Information

Abstract: This is a continuation of a recent paper by the authors (in Modern Problems in Insurance Mathematics, E. A. A. Series, Springer, New York, 2014, pp. 223–237) containing proofs of the results announced therein. We consider the model of joint life insurance with a stress factor. The proofs use the method of a maximal coupling for time inhomogeneous Markov chains. The stability of expectations of a function of a Markov moment is proved.


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References
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Additional Information

V. V. Golomozyĭ
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Academician Glushkov Avenue, 6, Kyiv 03127, Ukraine

M. V. Kartashov
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Academician Glushkov Avenue, 6, Kyiv 03127, Ukraine
Email: nkartashov@skif.com.ua

Yu. M. Kartashov
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Academician Glushkov Avenue, 6, Kyiv 03127, Ukraine

Keywords: Coupling method, maximal coupling, discrete Markov chains, stability of distributions of Markov chains
Received by editor(s): December 23, 2014
Published electronically: August 10, 2016
Article copyright: © Copyright 2016 American Mathematical Society