| 1. | The bayesian classification and identification method based on normal - inverted wishart prior distribution
先验分布的贝叶斯分类识别方法研究 |
| 2. | Posterior likelihood ratio tests for multivariate linear model based on normal - inverse wishart prior
先验信息下多元线性模型的后验似然比检验 |
| 3. | In the house of commons on may 18 , scottish national party pete wishart said the collection should be placed in the british library to " serve the public good "
5月18日，苏格兰民族党人下院议员皮特威沙特在下议院指出“为了公众的利益”这本收藏集应该放在大英博物馆里。 |
| 4. | In the house of commons on may 18 , scottish national party mp pete wishart said the collection should be placed in the british library to " serve the public good "
5月18日，苏格兰民族党人、下院议员皮特?威沙特在下议院指出“为了公众的利益”这本收藏集应该放在大英博物馆里。 |
| 5. | The results of the experiments are then discussed in detail . the applications of polarimetrtic interferometry in the classification of the land cover of sar images are studies in the end of the disse
最后，论文研究极化干涉在sar图象地物分类中的应用，给出极化干涉非监督wishart分类算法及其处理步骤，并对实验结果进行分析。 |
| 6. | Finally , a new kind of methods on how to classify a sample into one of the several known populations in terms of posterior probability ratio established by the sample ' s predictive density functions when the unknown parameters " prior distributions are diffuse prior and minnesota prior or normal - inverted wishart distribution
最后，利用参数的充分统计量，根据后验概率比构造了一类新的基于扩散先验分布和正态?逆wishart先验分布的多总体贝叶斯分类识别方法。 |
| 7. | ( 1 ) the posterior distribution of the coefficient matrix , the precision matrix and covariance matrix , and their bayesian estimation under the matrix normal - wishart conjugate prior distribution . ( 2 ) the deduction of the predictive distribution , proved to be matrix t distribution . ( 3 ) the designs of bayesian multivariate mean value control charts in terms of the relationship between the multivariate wishart distribution and x2 distribution , the bayesian process capability index and its confidence lower limi
通过多方程模型系统的统计结构，证明了矩阵正态? wishart先验分布是模型参数( ， )的共轭先验分布，研究了该先验分布下模型系数矩阵、精度阵和协方差阵的后验分布及其贝叶斯估计，对模型预报密度函数进行了严格的数学推导，并将其应用于多元质量控制领域，构造了贝叶斯均值向量联合控制图；结合wishart分布与x ~ 2分布之间的关系，设计与推断了贝叶斯多指标过程能力指数及其贝叶斯置信下限。 |
