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Using Gaussian elimination to solve linear equations.
標簽： elimination equations Gaussian linear
上傳時間： 2013-12-18
上傳用戶：shus521
Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any size. This is done by treating // the name of a 2-dimensional array as pointer to the beginning of the // array. This makes use of the fact that arrays in C are stored in // row-major order.
標簽： elimination equations Gaussian version
上傳時間： 2016-02-14
上傳用戶：hxy200501
Gaussian mixture modelling in matlab
標簽： modelling Gaussian mixture matlab
上傳時間： 2016-02-28
上傳用戶：weixiao99
Gaussian algorithm for Bayesian Model Selection
標簽： algorithm Selection Gaussian Bayesian
上傳時間： 2016-03-03
上傳用戶：6546544
計算高斯各階導函數的C程序 Computing Gaussian derivative waveforms of any order. Dgwaveform efficiently creates Gaussian derivative wavelets
標簽： efficiently Dgwaveform derivative Computing
上傳時間： 2014-01-19
上傳用戶：cursor
Gaussian procession 原程序,用于解決分類問題,有興趣可以看看啊
標簽： procession Gaussian 程序 分類
上傳時間： 2016-04-12
上傳用戶：凌云御清風
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
標簽： Semiparametric estimation parameters estimates
上傳時間： 2016-04-15
上傳用戶：talenthn
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
標簽： Semiparametric estimation parameters estimates
上傳時間： 2016-04-15
上傳用戶：qilin
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
標簽： Semiparametric estimation parameters estimates
上傳時間： 2014-12-08
上傳用戶：一諾88
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.
標簽： architecture COVARTYPE specified Gaussian
上傳時間： 2016-04-28
上傳用戶：dyctj
