The optimization of kink regression with differential evolution (DE)

© 2019 IOP Publishing Ltd. All rights reserved. This paper aims to estimate the kink model with respect to Thailand's exports to Thai GDP. Another main contribution of this study is to compare the performance of optimization the kink regression model with DE and MLE. The traditional optimizatio...

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Main Authors: Pathairat Pastpipatkul, Petchaluck Boonyakunakorn, Songsak Sriboonchitta
Format: Conference Proceeding
Published: 2020
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/68092
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-680922020-04-02T15:18:33Z The optimization of kink regression with differential evolution (DE) Pathairat Pastpipatkul Petchaluck Boonyakunakorn Songsak Sriboonchitta Physics and Astronomy © 2019 IOP Publishing Ltd. All rights reserved. This paper aims to estimate the kink model with respect to Thailand's exports to Thai GDP. Another main contribution of this study is to compare the performance of optimization the kink regression model with DE and MLE. The traditional optimization is maximum likelihood estimator (MLE) which has problems in the case where the function is nondifferentiable, or the likelihood is difficult to find. Furthermore, it is difficult to obtain the global maximum in the non-linear model. One of the optimization techniques is DE which is a successful method for searching for the global maximum. To evaluate the estimated performance of DE and MLE, we apply the Monte Carlo simulation. The simulation result indicates that DE has the both lower MSE and bias. We apply the regression model with respect to Thai exports to Thai GDP. For the estimated parameter results show that the kink point is -0.016%. The estimated coefficients in the first part and second part are 1.144% and 0.341%, respectively. 2020-04-02T15:18:33Z 2020-04-02T15:18:33Z 2019-10-14 Conference Proceeding 17426596 17426588 2-s2.0-85074917334 10.1088/1742-6596/1324/1/012087 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074917334&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68092
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Physics and Astronomy
spellingShingle Physics and Astronomy
Pathairat Pastpipatkul
Petchaluck Boonyakunakorn
Songsak Sriboonchitta
The optimization of kink regression with differential evolution (DE)
description © 2019 IOP Publishing Ltd. All rights reserved. This paper aims to estimate the kink model with respect to Thailand's exports to Thai GDP. Another main contribution of this study is to compare the performance of optimization the kink regression model with DE and MLE. The traditional optimization is maximum likelihood estimator (MLE) which has problems in the case where the function is nondifferentiable, or the likelihood is difficult to find. Furthermore, it is difficult to obtain the global maximum in the non-linear model. One of the optimization techniques is DE which is a successful method for searching for the global maximum. To evaluate the estimated performance of DE and MLE, we apply the Monte Carlo simulation. The simulation result indicates that DE has the both lower MSE and bias. We apply the regression model with respect to Thai exports to Thai GDP. For the estimated parameter results show that the kink point is -0.016%. The estimated coefficients in the first part and second part are 1.144% and 0.341%, respectively.
format Conference Proceeding
author Pathairat Pastpipatkul
Petchaluck Boonyakunakorn
Songsak Sriboonchitta
author_facet Pathairat Pastpipatkul
Petchaluck Boonyakunakorn
Songsak Sriboonchitta
author_sort Pathairat Pastpipatkul
title The optimization of kink regression with differential evolution (DE)
title_short The optimization of kink regression with differential evolution (DE)
title_full The optimization of kink regression with differential evolution (DE)
title_fullStr The optimization of kink regression with differential evolution (DE)
title_full_unstemmed The optimization of kink regression with differential evolution (DE)
title_sort optimization of kink regression with differential evolution (de)
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074917334&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/68092
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