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Using (GME) to Estimate kink Regression Models in Time Series (Applied Study) Cover

Using (GME) to Estimate kink Regression Models in Time Series (Applied Study)

Open Access
|Jul 2026

References

  1. Antweiler, W. (2007). Estimating voter migration in Canada using generalized maximum entropy. Electoral Studies, 26(4), 756–771.
  2. Blackmore, L., & Doole, G. J. (2013). Drivers of landholder participation in tender programs for Australian biodiversity conservation. Environmental Science & Policy, 33, 143–153.
  3. Duong, T. B. A., Tsuchida, J., & Yadohisa, H. (2021). K-means generalized maximum entropy estimation for structural equation modeling. Behaviormetrika, 48(3), 679–701.
  4. Golan, A., & Judge, G. (1991). Entropy econometrics: Estimation and testing. Journal of Econometrics, 45(1–2), 75–95.
  5. Golan, A., & Judge, G. (2008). Maximum entropy econometrics: Robust estimation with incomplete information. Econometric Theory, 24(4), 813–851.
  6. Golan, A., Judge, G., & Miller, D. (1996). Maximum entropy econometrics: Robust estimation with limited data. Econometric Theory, 12(2), 289–326.
  7. Golan, A., Judge, G., & Perloff, J. (1996). Estimating the parameters of the kink regression model using generalized maximum entropy. Econometric Reviews, 15(2), 139–163.
  8. Jameel, S. O., & Msallam, B. S. (2021a). Comparison between Renyi GME and Tsallis GME for estimation in kink regression. International Journal of Nonlinear Analysis and Applications, 12(2), 254–269.
  9. Jameel, S. O., & Msallam, B. S. (2021b). The general maximum entropy method by Shannon and Tsallis measures for estimating parameters of a kink regression model. Turkish Journal of Computer and Mathematics Education, 12(14), 3532–3548.
  10. Macedo, P. (2017). Ridge regression and generalized maximum entropy: An improved version of the ridge–GME parameter estimator. Communications in Statistics - Simulation and Computation, 46(10), 7655–7672.
  11. Maneejuk, P. (2021). On regularization of generalized maximum entropy for linear models. Soft Computing, 25(22), 14219–14236.
  12. Maneejuk, P., & Yamaka, W. (2022a). Entropy inference in smooth transition kink regression. Communications in Statistics - Simulation and Computation, 51(9), 4977–4997.
  13. Maneejuk, P., & Yamaka, W. (2022b). Tourism development and economic growth in Southeast Asian countries under structural break: Panel kink with GME estimator. Mathematics, 10(5), Article 723.
  14. Özel, S. Ö., & Çabuk, S. (2022). Estimation of ill-posed linear deterministic regression model: Generalized maximum entropy and Bayesian approach. Journal of the Faculty of Engineering and Architecture of Gazi University, 37(1), 453–465.
  15. Shannon, C. E. (1984). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423. (Original work published 1948).
  16. Sriboochitta, S., Yamaka, W., & Maneejuk, P. (2017). A generalized information theoretical approach to non-linear time series model. In Robustness in econometrics (pp. 321–339). Springer.
  17. Tarkhamtham, P., & Yamaka, W. (2018). The generalized maximum Tsallis entropy estimator in kink regression model. Journal of Physics: Conference Series, 1053(1), Article 012103.
  18. Tarkhamtham, P., & Yamaka, W. (2019). High-order generalized maximum entropy estimator in kink regression model. Thai Journal of Mathematics, 17(2), 469–486.
  19. Tarkhamtham, P., & Yamaka, W. (2022). A generalized maximum Renyi entropy approach in kink regression model. In Proceedings of the international conference of the Thailand econometric society (pp. 343–355). Springer.
  20. Yamaka, W. (2023). Maximum entropy learning with neural networks. In Optimal transport statistics for economics and related topics (pp. 123–142). Springer.
  21. Yamaka, W., & Maneejuk, P. (2022). Comparison of entropy measures in panel quantile regression and applications to economic growth analysis. In Proceedings of the international econometric conference of Vietnam (pp. 189–203). Springer.
  22. Yamaka, W., Srichaikul, W., & Sriboonchitta, S. (2018). Predictive recursion maximum likelihood for kink regression model. In International conference of the Thailand econometric society (pp. 567–581). Springer.
  23. Yang, L., Zhang, C., Lee, C., & Chen, I. P. (2021). Panel kink threshold regression model with a covariate-dependent threshold. The Econometrics Journal, 24(3), 462–487.
  24. Zellner, A. (1997). The finite sample properties of entropy estimators and tests. Econometric Reviews, 16(2), 151–171.
  25. Zellner, A., & Highfield, R. (1988). Calculation of maximum entropy distributions and approximation of marginal posterior distributions. Journal of Econometrics, 37(2), 195–209.
Language: English
Page range: 5414 - 5423
Published on: Jul 22, 2026
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Saad Obaid JAMEEL AL MASOODI, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.