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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.
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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.
...
人工智能/神经网络 New training algorithm for linear classification SVMs that can be much faster than SVMlight for larg
New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
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
论文 wavelet and field forecast verification
Current field forecast verification measures are inadequate, primarily because they compress the comparison
between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to
analysis and contemporaneous forecast fields prove to be an insightful approach to ve ...