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Modeling and management of power supply enterprises' cash flows
Pyatkina D.
on the generated polynomial models of multiple regression of cash flow for the power supply companies under study
Dynamics factors and slow-response characteristics of Russian trade ties
Sopilko N.Y., Navrotskaia N.A., Kovaleva E.A., Orlova A.F., Grigoryeva A.V.
methods: a gravity model of mutual trade, a method of regressive decision trees, autoregression and a
Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression
Diveev A., Sofronova E., Konyrbaev N.
This paper considers the control synthesis problem and its solution using symbolic regression
The study of geodynamic parameters on the basis of adaptive regression modeling
Nefedyev Y., Mubarakshina R., Andreev A., Demina N.
regression modeling which also allows performing prediction actions. The construction of the prediction
A new approach to the mathematical modelling of econometric dynamics of enterprises’ demand for labor
Kuznetsov N.V., Saydulaev D.D., Gukasyan G.L.
at an industrial enterprise, in particular, we develop: i) a linear regression model to define the dependence
Towards sophisticated decision models: Nonadditive robust ordinal regression for preference modeling
Beliakov G., Wu J.-Z., Divakov D.
criteria. Nonadditive robust ordinal regression (NAROR) aims to build capacities that fit the decision
Basics of building and analyzing adaptively targeted forecast models for supply chain management
Davnis, V. V., Tinyakova, V. I., Karyagina, T. V., Frolov, I. S., Sivtsova, N. F.
the methodology for building adaptively targeted forecast models based on the recursive least squares method
Theoretical-methodological and economical-mathematical approaches to building model of non-observed economy
Vorontsova V., Fesina Y., Makhmutova D.
. Structural elements in economical-mathematical models of non-observed economy are regression equations
What Affects The Ability To Accumulate The Best Applicants By Russian Universities? The Application Of Quantile Regression Model
Земцов С.П., Баринова В.А., Лашкевич Э.
Of Quantile Regression Model
The Study of Dynamic Parameters of Corporate Graphic Stations Using Methods of Adaptive Regression Multi-Parameter Modeling
Andreev A., Nefedyev Y., Demina N.
for CGS. The aim of this paper is to analyze TD for CGS using the adaptive regression modeling and to find

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