Search - semiparametric

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[Develop Tools] NonparametricandSemiparametricModels DL : 0: eBook Nonparametric and Semiparametric Models
Date : 2008-10-13 Size : 852.47kb User : 唐和生
[Other resource] sbgcop_0.95.tar DL : 0: 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. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf
Date : 2008-10-13 Size : 5.15kb User : 陈远
[Other resource] sbgcop_0.95 DL : 0: 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. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Windows binary: sbgcop_0.95.zip
Date : 2008-10-13 Size : 39.8kb User : 陈远
[Other resource] sbgcop DL : 0: 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. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Reference manual: sbgcop.pdf
Date : 2008-10-13 Size : 92kb User : 陈远
[Algorithm] copulas DL : 0: copua是金融数学计算中的一类新模型。本代码提供了最常用的copula模型，如clayton等中的参数估计等内容-copua financial mathematical calculation of a new type of model. This code provides the most commonly used model of Copulas, such as Clayton of parameter estimation etc.
Date : 2025-07-13 Size : 8kb User : 王璐
[Books] NonparametricandSemiparametricModels DL : 0: eBook Nonparametric and Semiparametric Models
Date : 2025-07-13 Size : 852kb User : 唐和生
[matlab] sbgcop_0.95.tar DL : 0: 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. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf
Date : 2025-07-13 Size : 5kb User : cy
[matlab] sbgcop_0.95 DL : 0: 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. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Windows binary: sbgcop_0.95.zip
Date : 2025-07-13 Size : 39kb User : cy
[Other] sbgcop DL : 0: 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. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Reference manual: sbgcop.pdf
Date : 2025-07-13 Size : 92kb User : cy
[matlab] 4 DL : 0: MATLAB程序，半参数线性回归模型的最小二乘核估计半参数线性回归模型的最小二乘正交序列估计。-MATLAB program, semi-parametric linear regression model of least squares kernel estimation Semiparametric least squares linear regression model orthogonal sequence estimation.
Date : 2025-07-13 Size : 1kb User : wyh
[matlab] hgfrz DL : 0: 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.
Date : 2025-07-13 Size : 2kb User : FOUFOU2
[Algorithm] Semiparametric DL : 0: 半参数回归模型在测绘领域中的应用，先利用多期数据构建半参数回归模型，然后再预报未来多期数据-Semiparametric regression model applied in the field of surveying and mapping, the first use of multi-phase data to construct semi-parametric regression model, and then predict the future multi-phase data
Date : 2025-07-13 Size : 16kb User : 俞礼彬