...= t t t t s S s S P 固定不变 10 ,当模型具有显著的预测能力时,马可夫过 程的状态转换机率矩阵(transition probability matrix)其对角线的元素会 非常接近1(unit),也就是模型一旦认定状态后,状态转换的机率很低。
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... 转置矩阵,excel 转置矩阵,matlab矩阵转置,转置矩阵 相乘[网路当红],转置矩阵 c++,转移概率矩阵(Transition Probability Matrix)转移概率矩阵：矩阵各元素都是非负的，并且各行元素之和等于1，各元素用概率表示，在一定 ..
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One-step transition probability matrix 一步转移概率矩阵
state transition probability matrix 状态转移概率矩阵
Kth-transition probability matrix 第k步转移概率矩阵
upward transition probability matrix 向上转移概率矩阵
Step transition probability matrix 一步转移概率矩阵
Markov transition probability matrix 马尔可夫转移概率矩阵
In chapter 5 ~ (th), by utilizing the Markov models of credit transition probability matrix, we study the problem of forward loan pricing.
第五章采用信用转移的马氏链模型，研究了远期贷款定价问题。
The definition of the Markov chain M matrix is stated and some of its properties are proved, base on canonical representation of the one-step transition probability matrix.
在一步 转移概率 矩 阵典型化的基础上，给出马尔可夫链M 矩 阵的定义并证明它的一些性质。
CDCPM describes the feature space of model by center distance normal distribution (CDN), and simplifies and improves the HMM efficiently by getting rid of the state transition probability matrix a.
CDCPM用中心距离正态(CDN)分布描述模型特征空间，去掉了H MM的状态转移概率矩阵a，对HMM进行了简化和改进。
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