On Probability Chains with Polynomial Growth
Author(s):
Natalia Vladislavovna Loginova
Senior Software Engineer
"Epam systems Montenegro" DOO Podgorica
Abstract:
The article is devoted to method of mathematical modeling of the resource allocation
process - the method of probabilistic chains. This model is a discrete dynamical system
defined on a simplex of probability vectors. Probabilistic chains with logistic and linear-logarithmic
growth have been studied in the most detail. In this paper, we consider chains with polynomial
growth. The polynomials of the system can be specified by different ways. We compare
arbitrary and optimized methods for choice of polynomials. The optimization is achieved
by taking into account the relationship between the influence of the share of the resource
in one territory on the share of the resource in another territory. As an example,
the data on trade in goods in % of GDP of Germany, France, Italy, Spain are considered.
The chains with logistic and linear-logarithmic growth are constructed as well.
The obtained results of modeling were analyzed by using the correlation coefficient,
which takes the greatest value for chains with polynomial growth constructed by the
optimized way.
Keywords
- extrapolation
- mathematical modeling
- polynomial growth
- probability chains
References:
- Afanas'eva E. V. [Modeling the processes of consumption economic resources with using probabilistic chains (on the example of Western European countries). ] Nauchno-tekhnicheskie vedomosti SPbGPU: Informatika. Telekommunikacii. Upravlenie. - SPb. : SPbPU, 2011. - № 3. - С. 93-97. (In Russ. )
- Afanas'eva E. V. [Modeling the processes of resource distribution with using probabilistic chains]. Differencial'nie uravnenia i processy upravlenia, 2011, no. 3. (In Russ. ) Available at: https://diffjournal.spbu.ru/pdf/afanasyeva.pdf
- Henrik Brink, Joseph Richards, Mark Fetherolf. Mashinnoe obuchenie. [Machine learning]. St. Petersburg, Publishing house " Piter", 2017. 336 с
- Loginova N. V. [On a method of modeling of socio-economic processes dynamics]. Computer tools in education, [S. l. ], n. 2, apr. 2018. (In Russ. ) Available at: http://cte.eltech.ru/ojs/index.php/kio/article/view/1534/1505
- Loginova N. V. [Probability Chains with Polynomial Growth as a Model of Resource Distribution]. Computer tools in education, 2020, (3). (In Russ. ) Available at: http://cte.eltech.ru/ojs/index.php/kio/article/view/1664/1647
- N. Loginova, N. Ampilova. [Application of linear bifurcation analysis to assess the reliability of probabilistic chains]. " Nekotorye aktual'nye problemy sovremennoj matematiki i matematicheskogo obrazovaniya. Gercenovskie chteniya- 2019” Materialy nauchnoj konferencii, 8-12 April 2019 г., pp. 209-218
- Certificate of state registration of the computer program №2018666417 [A program for building a forecast of changes in social and economic data based on discrete probability chains] (In Russ. ) Available atv: https://www1.fips.ru/registers-doc-view/fips_servlet?DB=EVM&DocNumber=2018666417&TypeFile=html (accessed: 25. 05. 2022)
- I. I. Eliseeva. Ekonometrika [Econometrics]. Moscow, Finansy i statistika publisher, 2005. 576 p
- Geoffrey J. D. Hewings. Regional industrial analysis and development. London, Methuen & Co, 1977. 180 p
- Geoffrey J. D. Hewings, Moss Madden. Social and demographic accounting. Cambridge, Cambridge univ. press, 1995. 242 p
- Sonis M. Discrete Non-Linear Probabilistic Chains. Functional-Differential Equations, Ariel, Israel, 2003, 10:445-487
- Sonis M., Hewings G. Regional Competition and Complementarity: Comparative Advantages/Disadvantages and Increasing/Diminishing Returns in Discrete Relative Spatial Dynamics. Regional Competition. Advances in Spatial Science. In P. Batey, P. Friedrich (eds). — Berlin: Springer Verlag, 2001. — P. 139-157
- World Bank Group. Available at: https://data.worldbank.org (accessed 8. 02. 2022)
- Archived documentation for previous versions of Matlab. Available at: https://www.mathworks.com/help/index.html (accessed 23. 01. 2022)