相依随机变量 meaning in Chinese
dependent stochastic variable
Examples
- Dependent stochastic variable
相依随机变量 - In this paper , some limit behaviours of two kinds of special dependent random variables are investigated . it divides two chapters
本文主要研究了两类特殊的相依随机变量的极限性质，其共分两章。 - Hidden markov models have been widely used for modeling sequences of weakly dependent random variables , with applications in as such as speech processing , neurophysiology and biology
隐马尔可夫模型可应用于弱相依随机变量的建模上，也可用作研究发音过程、神经生理学与生物遗传等方面的工具。 - This article gets some good results on the random fields of dependent random variables on the base of the studies of one dimension integer random variable serials with extending it to a tree
本文就是在一维整值随机变量序列研究的基础上，将之推广到树上，得到了一些关于相依随机变量随机场的结果。 - In this paper , the notion of likelihood ratio , as a measure of deviation between a sequence of the arbitrary random variables and a sequence of independent random variables with different distributions , is introduced . a class of strong deviation theorems represented by inequalities are given on a subset of the sample space by constructing a negative supermartingale and using martingale convergence theorem
本文通过引进似然比作为相依随机变量序列相对于服从不同分布的独立随机变量序列的偏差的一种度量，并通过构造一个非负上鞅，利用鞅收敛定理给出了样本空间的一个子集上的一类用不等式表示的强偏差定理。