In general, research activities in the department are always motivated by real-world application. Projects listed on this page are those that goes beyonds academic considerations and actually implemented the developed algorithms in real environment. List of theoretical projects is available here

List of former application-oriented projects

Bayesian Dynamic Decision Making

Dynamic decision making (DM) maps knowledge into DM strategy, which ensures reaching DM aims.

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A research in the financial econometrics is on the cutting edge of the current research. Financial markets have very complex nature and cannot be easily understood using simple, tractable models. Thus the financial markets are investigated from the various perspectives.

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Stochastic programming and Decision in Economy

1. The Wasserstein metric (based on L_1 norm) has been employed to obtain upper stability bounds  (considered with respect to  probability measures space) for ``classical" one-stage stochastic programming problems with operator of mathematical expectation in an objective function and deterministic constrained sets. This result has been generalized to some types of problems in which dependence on probability measure is not linear.

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Theory of copulass and aggregation operators

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Macrodynamics

Nonlinear model of closed economy is formulated on an extended and modified Kaldor's model of small closed economy with a simple structure and several nonlinearities. Nonlinear pattern of dependencies in this model is created by a logistic function. The model is realized by four differential equations. The first equation and second equation describe output and capital dynamics. A core of the output dynamics is formulated by investment and savings disequilibrium.

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