2025, Vol. 6, Issue 2, Part B
Generalized gradient-based parameter estimation in dynamic economic networks with time-shifted effects
Author(s): Hayjaa Khudhair Dakhil
Abstract: This paper presents a novel mathematical framework for modeling economic dynamics using delay differential equations. The proposed model captures the time-lagged interactions between production volume and price, reflecting more realistic market behaviors. A gradient-based algorithm is developed for estimating model parameters, and a rigorous convergence theorem is proven under standard conditions. Numerical experiments on synthetic data confirm the accuracy and stability of the proposed approach. The findings provide a foundational basis for future applications in real-world economic forecasting and optimization.
DOI: https://doi.org/10.22271/math.2025.v6.i2b.230
Pages: 215-218 | Views: 146 | Downloads: 39
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How to cite this article:
Hayjaa Khudhair Dakhil. Generalized gradient-based parameter estimation in dynamic economic networks with time-shifted effects. Journal of Mathematical Problems, Equations and Statistics. 2025; 6(2): 215-218. DOI: 10.22271/math.2025.v6.i2b.230
