搜索结果

找到约 15 项符合 Multivariate 的查询结果

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 ...
https://www.eeworm.com/dl/522786.html
下载: 1
查看: 113

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. ...
https://www.eeworm.com/dl/665/284259.html
下载: 52
查看: 1079

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. ...
https://www.eeworm.com/dl/542/284260.html
下载: 33
查看: 1063

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. ...
https://www.eeworm.com/dl/665/284258.html
下载: 91
查看: 1081

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
https://www.eeworm.com/dl/521099.html
下载: 1
查看: 190