1) maximum probability estimation
极大概率估计
2) maximum a posteriori estimate
极大后验概率估计
1.
In order to improve the positioning precision of the scene matching navigation system,a novel algorithm of scene matching based on Markov random field theory and maximum a posteriori estimate is proposed.
为了提高景像匹配导航系统的定位精度,给出了一种基于Markov随机场理论和极大后验概率估计的新型景像匹配算法。
3) Probability estimation
概率估计
1.
In this approach, the methods of probability estimation and star model are used to evaluate the routing of nets.
这个方法用概率估计模型和星型模型来评价线网的走线 。
2.
The results showed that post probability estimation was significantly lower under low base-rate conditions than that under high base-rate conditions;RT was remarkably shorter under no-base-rate conditions than that under base-rate conditions.
结果表明,低基础概率组后验概率估计显著低,无基础概率组后验概率估计反应时显著短于有基础概率组。
3.
The results showed:(1) The probability estimation was significantly lower for passive events than active events when the events in the tasks were related to the subjects;it showed no significant difference between the two conditions when the events were not related to the subjects.
用贝叶斯推理问题为实验材料,探讨了主体关联性对贝叶斯推理概率估计的影响。
4) probability estimate
概率估计
1.
After studying each state respectively,we can get three kinds of the different probability estimate formulae.
本文对收益率序列存在相关性、收益率是多元随机变量情况下的尾概率估计问题也进行了分析。
6) Probability maximum
概率极大
补充资料：极大似然估计
极大似然估计法是求估计的另一种方法。它最早由高斯提出。后来为费歇在1912年的文章中重新提出，并且证明了这个方法的一些性质。极大似然估计这一名称也是费歇给的。这是一种上前仍然得到广泛应用的方法。它是建立在极大似然原理的基础上的一个统计方法，极大似然原理的直观想法是：一个随机试验如有若干个可能的结果A，B，C，%26#8230;。若在一次试验中，结果A出现，则一般认为试验条件对A出现有利，也即A出现的概率很大。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条