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其他 A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute suc ...
matlab例程 Univariate local or global optimization matlab最优化工具包
Univariate local or global optimization
matlab最优化工具包，可以进行最优化点的搜寻。
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.
...
matlab例程 the text file QMLE contains the quasi maximum likelyhood estimating procedure and performing Infor
the text file QMLE contains the quasi maximum
likelyhood estimating procedure and performing Information Matrix test
for a univariate GARCH(1,1) model
GPS编程 function [U,V,num_it]=fcm(U0,X) ％ MATLAB (Version 4.1) Source Code (Routine fcm was written by R
function [U,V,num_it]=fcm(U0,X)
％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
％ Hathaway on June 21, 1994.) The fuzzification constant
％ m = 2, and the stopping criterion for successive partitions is epsilon =??????.
％*******Modified 9/15/04 to have epsilon = ...