搜索资源列表
emc
- 此源码可用与隐马氏模型估计参数时的EM算法。此源码在C++中运行。-This source can be estimated with the Hidden Markov Model parameters of the EM algorithm. This source code in C++ in the running.
EMPPF
- 最大期望算法EM+粒子滤波算法实现参数估计-EM+particle filter for parameter estimation
EmGm
- 主要是混合高斯模型的参数估计方法，运用的是最大似然函数EM算法。文件中包含训练数据。(The parameter estimation method of the mixed Gauss model is mainly based on the maximum likelihood function EM algorithm. The file contains training data.)
DEIC42
- 混合高斯概率密度模型,其参数估计可以通过期望最大化( EM) 迭代算法获得,()
copula
- 运用MATLAB进行混合copula函数的参数计算，基于em估计(Using MATLAB to calculate the parameters of mixed copula function, based on EM estimation)
R
- R语言对数据进行Garch-M-Copula建模并利用EM算法估计相应的参数(Garch-m-copula is used to model the data in R language and EM algorithm is used to estimate the corresponding parameters)