bayesian 源码搜索结果, 第31页, Verysource

Applied Bayesian Modelling and Cause Inference from Incomplete-D... John-Wiley Statistic Series A.Gelman - Applied Bayesian Modelling and Cause Inference from Incomplete-Data Perseoctives (Wiley 2004) [Columbia University]
An Introduction to Bayesian Networks and their Contemporary Appl... 贝叶斯网络的经典论文An Introduction to Bayesian Networks and their Contemporary Applications
Doing Bayesian Data Analysis with R and BUGS Doing Bayesian Data Analysis with R and BUGS
Bayesian Inference - With ecological applications This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods ...
Doing Bayesian Data Analysis - A Tutorial with R and BUGS ... text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbooks--t-tests, analysis of variance (ANOVA) and ... -Comprehensive coverage of all scenarios addressed by non-bayesian textbooks- t-tests, analysis of variance (ANOVA) and ...
Bayesian nonparametric 非参数bayesian 统计，大统计学家大作
一个Hierarchical Bayesian Model的R实现《Bayesian Data Analysis》一书中的第5章Hierarchical Bayesian Model有个关于层次贝叶斯模型的例子。该书讲了方法，但没有实现的代码。我把用R实现该模型的过程记录在文档。文件夹还包含了该书的数据集
Bayesian Computation With R Bayesian Computation With R
Basic Theory of Fuzzy Bayesian Networks Bayesian network is an effective uncertain knowledge representation and reasoning method. Fuzzy sets can be used for expressing ... the fuzzy event and presents a hybrid inference system with fuzzy sets and Bayesian networks which are called “Fuzzy Bayesian ...
Bayesian Spectrum Analysis and Parameter Estimation Bayesian Spectrum Analysis and Parameter Estimation

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