Thông tin chung

TS.P.K.Hung

 

TS.  Phó Kim Hưng

Tiến sĩ 2021

Giảng viên, Nghiên cứu viên

phokimhung@tdtu.edu.vn

 

A. Quá trình đào tạo và hoạt động khoa học

1. Quá trình đào tạo

  • 2015 – 2021: Tiến sĩ Thống kê ứng dụng, Trường Đại học Feng Chia, Đài Loan
  • 2012 – 2014: Thạc sĩ Toán ứng dụng, Trường Đại học Bách Khoa, Việt Nam
  • 2008 - 2012: Cử nhân Sư phạm Toán học, Đại học Cần Thơ, Việt Nam.

2. Quá trình hoạt động chuyên môn

  • 2014– nay: Giảng viên, Đại học Tôn Đức Thắng.

3. Lĩnh vực nghiên cứu

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. Công bố Khoa học

1.Sách

  1. Nguyễn Ngọc Hiền, Huỳnh Hữu Nhân, Phó Kim Hưng, Nguyễn Tấn Cường, Khai thác dữ liệu với R, NXB Thanh Niên, 2021, ISBN: 978-604-334-956-6.

2. Bài báo

29. Pho, K. H., & Lukusa, T. M. (2024). Parameter estimations of zero-inflated negative binomial model with incomplete data. Applied Mathematical Modelling, 129, 207-231. (ISI).  DOI: https://doi.org/10.1016/j.apm.2024.01.034

 

28. Pho, K. H., & Truong, B. C. (2024). The Zero-Inflated Poisson-Probit regression model: a new model for count data. Communications in Statistics-Simulation and Computation, 1-20. (ISI).   DOI: https://doi.org/10.1080/03610918.2024.2311797

 

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 

 

  1. 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

 

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