A novel PNN model with training algorithms is proposed for class conditionaldensity estimation.
提出了一种新的类条件密度函数估计的PNN模型及其算法。
2
The conditionaldensity and the conditional mean are estimated by nonparametric method. Then the estimator of the parameter is proposed by the generalized method of moments.
使用非参数估计方法给出条件密度和条件均值的估计,在此基础上给出参数的广义矩估计。
3
We propose a method for proving two matrix identities, which are often used in statistical analysis, based on knowledge of conditional posterior density.