Một phương pháp mới tìm khoảng mật độ hậu nghiệm cao nhất và ứng dụng

Authors

  • Lê Thanh Hoa Trường Đại học Kinh tế - Luật, Trường Đại học Khoa học Tự nhiên, Đại học Quốc gia TP.HCM Author
  • Phạm Hoàng Uyên Trường Đại học Kinh tế - Luật, Đại học Quốc gia TP.HCM Author
  • Nguyễn Đình Thiên Trường Đại học Kinh tế - Luật, Đại học Quốc gia TP.HCM Author

DOI:

https://doi.org/10.24311/jabes/2017.28.10.1334

Keywords:

Highest posterior density interval, Coverage interval, Forecast interval

Abstract

In Bayesian Statistics, estimation of the credible interval  requires a different calculation formula from the confidence interval in Frequentist Statistics. Due to the complexity of the calculation, we propose a new method to find the highest posterior density interval through difference Dif., to effectively use the value of the quantile level and to save computation time. Specifically, we apply this technique to the closing stock price forecast of 16 stocks of large market price of Vietnam Stock Market and the first stocks in the alphabetical trading on HXN.

References

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Published

2017-10-30

Issue

Section

Articles

How to Cite

Lê Thanh Hoa, Phạm Hoàng Uyên, & Nguyễn Đình Thiên. (2017). Một phương pháp mới tìm khoảng mật độ hậu nghiệm cao nhất và ứng dụng. JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES, 28(10), 79-120. https://doi.org/10.24311/jabes/2017.28.10.1334