Bayesian Method of PSA Generic Data Processing Based on Jeffreys Prior

Shen Zhiyuan; Chen Wei; Yuan Jianxin; Tang Xiuhuan; Yang Jian

doi:10.13832/j.jnpe.2014.06.0084

Volume 35 Issue 6

Feb. 2025

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Shen Zhiyuan, Chen Wei, Yuan Jianxin, Tang Xiuhuan, Yang Jian. Bayesian Method of PSA Generic Data Processing Based on Jeffreys Prior[J]. Nuclear Power Engineering, 2014, 35(6): 84-87. doi: 10.13832/j.jnpe.2014.06.0084

Citation:

Shen Zhiyuan, Chen Wei, Yuan Jianxin, Tang Xiuhuan, Yang Jian. Bayesian Method of PSA Generic Data Processing Based on Jeffreys Prior[J]. Nuclear Power Engineering, 2014, 35(6): 84-87. doi: 10.13832/j.jnpe.2014.06.0084

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Bayesian Method of PSA Generic Data Processing Based on Jeffreys Prior

doi: 10.13832/j.jnpe.2014.06.0084

State Key Lab of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an, 710024, China

Received Date: 2013-11-05
Rev Recd Date: 2014-10-13

Available Online: 2025-02-15

Abstract

Abstract

Jeffreys priors for gamma and beta distribution was derived after adopting Jeffreys prior theory.Furthermore, the expressions were given to estimate the hyper parameters of generic data distribution using B ayesian approach. Compared to the results using classical statistics theory, the data processing method based o n Jeffreys prior appeared much simpler and more concentrated, which reserved most sample information.
- Bayesian approach,
- Jeffreys prior,
- Probabilistic Safety Assessment,
- Reliability data