PH.D. PHO KIM HUNG | Faculty of Mathematics & Statistics

	PH.D. PHO KIM HUNG
	Ph.D. 2021
	Lecturer, Researcher
	phokimhung@tdtu.edu.vn

A. Education and professional activities

1. Education and degrees

2015 – 2021: Ph.D. in Applied Statistics, Feng Chia University, Taiwan
2012 – 2014: Master of Applied Mathematics, Ho Chi Minh City University of Technology, Viet Nam

2008 - 2012: Bachelor of Mathematics Pedagogy, Can Tho University, Viet Nam.

2. Professional activities

2014– now: Lecturer, Ton Duc Thang University.

3. Research interests

Parameter estimation for regression models with no missing data

Parameter estimation for regression models with missing data

Goodness of fit tests for regression models with no missing data

Goodness of fit tests for regression models with missing data

Randomized Response Technique

Applied Mathematics for Finance

Applied Mathematics for Social Sciences.

B. Publications

Book

Nguyen Ngoc Hien, Huynh Huu Nhan, Pho Kim Hung, Nguyen Tan Cuong, Data Mining with R, Thanh Nien Publisher, 2021, ISBN: 978-604-334-956-6.

2. Papers in international journals

27. Pho, K. H. (2023). Zero-inflated logit probit model: a novel model for binary data, Communications in Statistics - Theory and Methods, 1-20. (ISI). DOI: https://doi.org/10.1080/03610926.2023.2248325

26. Pho, K. H. (2023). Zero-inflated probit Bernoulli model: a new model for binary data. Communications in Statistics-Simulation and Computation, 1-21. (ISI). DOI: https://doi.org/10.1080/03610918.2023.2219430

25. Pho, K. H., & Truong, B. C. (2023). Pearson chi-squared and unweighted residual sum of square tests of fit for a probit model. Communications in Statistics-Simulation and Computation, 1-16. (ISI)
DOI: https://doi.org/10.1080/03610918.2023.2202369

24. Ali, E., & Pho, K. H. (2023). A simulation-based study of Zero-inflated Bernoulli model with various models for the susceptible probability. arXiv preprint arXiv:2301.09698.
DOI: https://arxiv.org/abs/2301.09698

23. Tuan, B. A., Pho, K. H., Pan, S. H., & Wong, W. K. (2022). Applications in Sciences in the prevention of COVID-19. Advances in Decision Sciences, 26(4), 1-16. (Scopus)
DOI: https://doi.org/10.47654/v26y2022i4p1-16

22. Pho, K. H. (2022). Goodness of fit test for a zero-inflated Bernoulli regression model. Communications in Statistics-Simulation and Computation, 1-16. (ISI)

DOI: https://doi.org/10.1080/03610918.2022.2032158

21. Pho, K. H. (2022). Improvements of the Newton–Raphson method. Journal of Computational and Applied Mathematics, 114106. (ISI)

DOI: https://doi.org/10.1016/j.cam.2022.114106

Pho, K. H., Nguyen, N. H., Huynh, H. N., & Wong, W. K. (2021). A Detailed Guide on How to Use Statistical Software R for Text Mining. Advances in Decision Sciences, 25(3), 92-110. (Scopus)

DOI: https://doi.org/10.47654/v25y2021i3p92-110

19. Pho, K. H., Ly, S., Lu, R., Van Hoang, T. H., & Wong, W. K. (2021). Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China. International Review of Financial Analysis, 74, 101674. (ISI)

DOI: https://doi.org/10.1016/j.irfa.2021.101674

18. Pho, K. H., & McAleer, M. (2021). Specification and estimation of a logistic function, with applications in the sciences and social sciences. Advances in Decision Sciences, 25(2), 1-30. (Scopus)

DOI: https://doi.org/10.47654/v25y2021i2p74-104

17. Nhan, D. T. T., Pho, K. H., Van Anh, D. T., & McAleer, M. (2021).. Evaluating The Efficiency Of Vietnam Banks Using Data Envelopment Analysis. Annals of Financial Economics, 16(02), 2150010. (Scopus)

DOI: https://doi.org/10.1142/S201049522150010X

16. Nhan, D. T. T., Pho, K. H., Van Anh, D. T., & McAleer, M. (2021). The Safety of Banks in Vietnam Using CAMEL. Advances in Decision Sciences, 25(2), 158-192. (Scopus)

DOI: https://doi.org/10.47654/v25y2021i2p158-192

15. Truong, B. C., Pho, K. H., Dinh, C. C., & McAleer, M. (2021). Zero-inflated poisson regression models: Applications in the sciences and social sciences. Annals of Financial Economics, 16(02), 2150006. (Scopus)

DOI: https://doi.org/10.1142/S2010495221500068

14. Lee, S. M., Pho, K. H., & Li, C. S. (2021). Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates. Journal of Statistical Planning and Inference, 214, 105-127. (ISI)

DOI: https://doi.org/10.1016/j.jspi.2021.01.005

13. Chang, P. C., Pho, K. H., Lee, S. M., & Li, C. S. (2021). Estimation of parameters of logistic regression for two-stage randomized response technique. Computational Statistics, 36(3), 2111-2133. (ISI)

DOI: https://doi.org/10.1007/s00180-021-01068-5

12. Mahmoudi, M. R., Tuan, B. A., & Pho, K. H. (2021). On kurtoses of two symmetric or asymmetric populations. Journal of Computational and Applied Mathematics, 391, 113370. (ISI)

DOI: https://doi.org/10.1016/j.cam.2020.113370

11. Pho, K. H., Fu, Z., Mahmoudi, M. R., & Tuan, B. A. (2020). Prediction for the processes with almost cyclostationary structure. Journal of Statistical Computation and Simulation, 90(15), 2814-2822. (ISI)

DOI: https://doi.org/10.1080/00949655.2020.1791117

10. Pho, K. H., Heydari, M. H., Tuan, B. A., & Mahmoudi, M. R. (2020). Numerical study of nonlinear 2D optimal control problems with multi-term variable-order fractional derivatives in the Atangana-Baleanu-Caputo sense. Chaos, Solitons & Fractals, 134, 109695. (ISI)

DOI: https://doi.org/10.1016/j.chaos.2020.109695

9. Mahmoudi, M. R., Heydari, M. H., Avazzadeh, Z., & Pho, K. H. (2020). Goodness of fit test for almost cyclostationary processes. Digital Signal Processing, 96, 102597. (ISI)

DOI: https://doi.org/10.1016/j.dsp.2019.102597

8. Pho, K. H., & Truong, B. C. (2020). Comparison of the performance of the gradient and Newton-Raphson method to estimate parameters in some zero-inflated regression models. Journal of Advanced Engineering and Computation, 4(4), 227-250. (TDTU journal)

DOI: http://dx.doi.org/10.25073/jaec.202044.297

7. Duong, D. K., Phan, T. T. P., Pho, K. H., & McAleer, M. (2020). Impact of Board Characteristics and State Ownership on Dividend Policy in Vietnam. Advances in Decision Sciences, 24(4), 1-34. (Scopus)

DOI: https://doi.org/10.47654/v24y2020i4p1-34

6. Suu, N. D., Luu, T. Q., Pho, K. H., & McAleer, M. (2020). Net interest margin of commercial banks in Vietnam. Advances in Decision Sciences, 24(1), 1-27. (Scopus)

DOI: https://doi.org/10.47654/v24y2020i1p1-27

5. Pho, K. H., Ho, T.D.C., Tran, T.K., & Wong, W. K. (2019). Optimal Solution Techniques in Decision Sciences: A Review. Advances in Decision Sciences, 23(1), 1-47. (Scopus)

DOI: https://doi.org/10.47654/v23y2019i1p114-161

4. Ly, S., Pho, K. H., Ly, S., & Wong, W. K. (2019). Determining distribution for the product of random variables by using copulas. Risks, 7(1), 23. (Scopus)

DOI: https://doi.org/10.3390/risks7010023

3. Ly, S., Pho, K. H., Ly, S., & Wong, W. K. (2019). Determining distribution for the quotients of dependent and independent random variables by using copulas. Journal of Risk and Financial Management, 12(1), 42. (ISI)

DOI: https://doi.org/10.3390/jrfm12010042

2. Truong, B. C., Pho, K. H., Nguyen, V. B., Tuan, B. A., & Wong, W. K. (2019). Graph theory and environmental algorithmic solutions to assign vehicles: Application to garbage collection in Vietnam. Advances in Decision Sciences, 23(3), 1-35. (Scopus)

DOI: https://doi.org/10.47654/v23y2019i3p1-35

1. Pho, K. H., Ly, S., Ly, S., & Lukusa, T. M. (2019). Comparison among Akaike information criterion, Bayesian information criterion and Vuong's test in model selection: A case study of violated speed regulation in Taiwan. Journal of Advanced Engineering and Computation, 3(1), 293-303. (TDTU journal)

DOI: http://dx.doi.org/10.25073/jaec.201931.220