Author(s)

Wang Jianxin ¹

Affiliation(s)

¹ College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China

Corresponding Author

Wang Jianxin

ABSTRACT

Bayes formula is an important formula in probability theory and mathematical statistics. It has a wide range of applications. Bayes formula continuously adjusts prior information to a posterior probability under the condition of adding new information. This article deeply analyzes the Bayes formula and applies it to probability prediction in different fields such as signal processing, software fault diagnosis, medical diagnosis, etc. The Bayes formula provides an effective probability prediction method in practical applications.

KEYWORDS

Bayes formula; Posterior probability; Signal processing; Software fault diagnosis; medical diagnosis

CITE THIS PAPER

Wang Jianxin, Application and Extension of Bayes Formula. Journal of Electronics and Information Science (2024) Vol. 9: 1-6. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090101.

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