并以简例说明了用有限的马尔可夫参数实现状态模型和差分模型的统一方法。
Simple examples for explaining the unifying realization methods of state space and difference equation model using finite markov parameters are also presented in this paper.
本文根据马尔可夫分析法的基本原理，建立起电动自行车的方式分担预测模型。
According to the basic principle of Markov Analysis, forecasting model of e-bike mode share is established in this paper.
本文重点讨论了广义矩估计法、马尔可夫链蒙特卡罗方法和有效矩估计法这三种各具特点的随机波动模型的参数估计方法。
In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;
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