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人工智能/神经网络 MFA: Marginal Fisher Analysis
MFA: Marginal Fisher Analysis
人工智能/神经网络 Marginal Fisher Analysis算法
Marginal Fisher Analysis算法，可用于降维，注释有使用说明！供大家学习交流！
生物技术 This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal ...
matlab例程 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
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matlab例程 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...
其他书籍 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...
源码 gibbs抽样 matlab实现
使用matlab实现gibbs抽样，MCMC: The Gibbs Sampler
多元高斯分布的边缘概率和条件概率
Marginal and conditional distributions of multivariate normal distribution