UDC 519.6
Authors
G.A. SHCHERBAKOV, Doctor of Economics
Abstract
Mathematical modeling is currently the most effective way to study business processes and select the optimal directions of economic policy. The mathematical model (or mathematical description) located in the center of research data is a reliable tool for in-depth knowledge of the properties of a real object of interest. However, this method has the disadvantage that the real processes do not match the econometric technologies used for their analysis. This discrepancy makes it impossible to obtain adequate estimates and effective management decisions. This article is devoted to possible ways to solve this problem by supplementing traditional computing tools with modern mathematical measuring technologies.
Keywords
mathematical methods, Bayesian regularizing approach, soft measurements, economic and mathematical modeling, econometric model.
