What ever cases we can deduce the confidence interval of high posteriordensity (HPD).
并由此得到其最大后验密度(HPD)置信区间。
2
The Bayesian solution to the problems of target tracking is essentially to calculate the exact posteriordensity.
用贝叶斯方法求解目标跟踪问题,实质就是求状态的后验概率密度。
3
We propose a method for proving two matrix identities, which are often used in statistical analysis, based on knowledge of conditional posteriordensity.