Development of the Bayesian method and its application to the water resources field

Wooyoung Na, Chulsang Yoo

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The Bayesian method is a very useful statistical tool in various fields including water resources. Therefore, in this study, the background of the Bayesian statistics and its application to the water resources field are reviewed. First, the history of the Bayesian method from the birth to the present, and the achievements of Bayesian statisticians are summarized. Next, the derivation of the Bayes’ theorem, which is the basis of the Bayesian method, is presented, and the roles of the three elements of the Bayes’ theorem: priori distribution, likelihood function, and posteriori distribution are explained. In addition, the unique features and advantages of the Bayesian statistics are summarized. Finally, the cases in water resources where the Bayesian method is applied are summarized by dividing them into several categories. With a prevalence of information and big data in the future, the Bayesian method is expected to be used more actively in the water resources field.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalJournal of Korea Water Resources Association
Issue number1
Publication statusPublished - 2021 Jan

Bibliographical note

Publisher Copyright:
© 2021 Korea Water Resources Association.


  • Bayesian method
  • Bayesian statistics
  • Bayes’ theorem

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Environmental Science (miscellaneous)
  • Ecological Modelling


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