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On the simultaneous estimation of delay model parameters in economic dynamics. / Prasolov, Alexander V.

In: Physica A: Statistical Mechanics and its Applications, Vol. 509, 01.11.2018, p. 1102-1109.

Research output: Contribution to journal › Article › peer-review

Harvard

Prasolov, AV 2018, 'On the simultaneous estimation of delay model parameters in economic dynamics', Physica A: Statistical Mechanics and its Applications, vol. 509, pp. 1102-1109. https://doi.org/10.1016/j.physa.2018.06.104

APA

Prasolov, A. V. (2018). On the simultaneous estimation of delay model parameters in economic dynamics. Physica A: Statistical Mechanics and its Applications, 509, 1102-1109. https://doi.org/10.1016/j.physa.2018.06.104

Vancouver

Prasolov AV. On the simultaneous estimation of delay model parameters in economic dynamics. Physica A: Statistical Mechanics and its Applications. 2018 Nov 1;509:1102-1109. https://doi.org/10.1016/j.physa.2018.06.104

Author

Prasolov, Alexander V. / On the simultaneous estimation of delay model parameters in economic dynamics. In: Physica A: Statistical Mechanics and its Applications. 2018 ; Vol. 509. pp. 1102-1109.

BibTeX

@article{183ab5b582574212a106942468c0f74d,
title = "On the simultaneous estimation of delay model parameters in economic dynamics",
abstract = "Mathematical models in the form of differential equations with a time lag have been widely used in economics, biology, engineering and medicine to model dynamical interactions. In this paper, a heuristic estimation algorithm of delay values is offered in discrete deterministic systems by minimizing the average quadratic deviation for parameter identification. A well-known “predator–prey” model falls within the solution set we offer and is widely used in economics. Obviously, real data requires the analysis of random measurement innovations be taken into account; however, this aspect is not considered for the sake of convenience.",
keywords = "Identification, Mathematical models, Time lag, “Predator–prey” model, SELECTION, {"}Predator-prey{"} model",
author = "Prasolov, {Alexander V.}",
year = "2018",
month = nov,
day = "1",
doi = "10.1016/j.physa.2018.06.104",
language = "English",
volume = "509",
pages = "1102--1109",
journal = "Physica A: Statistical Mechanics and its Applications",
issn = "0378-4371",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - On the simultaneous estimation of delay model parameters in economic dynamics

AU - Prasolov, Alexander V.

PY - 2018/11/1

Y1 - 2018/11/1

N2 - Mathematical models in the form of differential equations with a time lag have been widely used in economics, biology, engineering and medicine to model dynamical interactions. In this paper, a heuristic estimation algorithm of delay values is offered in discrete deterministic systems by minimizing the average quadratic deviation for parameter identification. A well-known “predator–prey” model falls within the solution set we offer and is widely used in economics. Obviously, real data requires the analysis of random measurement innovations be taken into account; however, this aspect is not considered for the sake of convenience.

AB - Mathematical models in the form of differential equations with a time lag have been widely used in economics, biology, engineering and medicine to model dynamical interactions. In this paper, a heuristic estimation algorithm of delay values is offered in discrete deterministic systems by minimizing the average quadratic deviation for parameter identification. A well-known “predator–prey” model falls within the solution set we offer and is widely used in economics. Obviously, real data requires the analysis of random measurement innovations be taken into account; however, this aspect is not considered for the sake of convenience.

KW - Identification

KW - Mathematical models

KW - Time lag

KW - “Predator–prey” model

KW - SELECTION

KW - "Predator-prey" model

UR - http://www.scopus.com/inward/record.url?scp=85049313220&partnerID=8YFLogxK

U2 - 10.1016/j.physa.2018.06.104

DO - 10.1016/j.physa.2018.06.104

M3 - Article

AN - SCOPUS:85049313220

VL - 509

SP - 1102

EP - 1109

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

SN - 0378-4371

ER -

ID: 33791024