Modern Bayesian Statistics 现代贝叶斯统计学
Bayesian Statistics-Based Approach 基于贝叶斯推理的方法
Bayesian Statistics Reasoning 贝叶斯统计推理
Applied Bayesian Statistics 贝叶斯统计学应用
Personalized Medicine and Bayesian Statistics 性化医疗和贝叶斯统计
Introduction to Bayesian Statistics 贝叶斯统计学概论
bayesian statistics method 贝叶斯统计方法
bayesian statistics inference bayes统计推断
Bayesian statistics and regularization 贝叶斯统计和规则化
The entire thesis can be divided into four parts.1. Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.2.
全文研究了如下几个问题： 1．贝叶斯统计理论：阐述贝叶斯网络的数学原理——贝叶斯统计。
参考来源 - 基于贝叶斯网络数据挖掘技术理论及算法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Bayes factor is the major tool for model selection in Bayesian Statistics.
在贝叶斯统计学中，贝叶斯因子是进行模型选择的主要工具。
Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.
贝叶斯统计理论：阐述贝叶斯网络的数学原理——贝叶斯统计。
At present, Modern Bayesian Statistics that is the represent of MCMC methodology is applied widely in almost all subjects and achieved marked achievements.
目前以MCMC方法为代表的现代贝叶斯统计学已广泛应用于几乎所有的学科，并取得了显著的成果。
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