Maximum-entropy Conjugate Priors of Variance under Normal Distribution

摘要：

Confirming the priors in reason is the key of the Bayesian statistic. In this paper, according to two different kinds of prior information, the maximum-entropy conjugate priors of the variance based on the known expectation of the normal distribution are discussed. And the prior is used in the BDLM based on the unknown observation variance.

关键词： maximum-entropy conjugate prior normal distribution, prior distribution, BDLM.

作者: Wang Jing

作者单位: School of Information Science and Engineering, Shandong Agricultural University, Taian 271018, P. R. China

会议类型: 国际会议

会议名称: The 1st International ELID-Grinding Conference(第一届镜面磨削技术国际会议)

会议地点: 长沙

会议语种:英文

页码: 281-283

在线出版日期: 2008-06-12（万方平台首次上网日期，不代表论文的发表时间）