搜索资源列表
wave_cov
- 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 comput
sbgcop_0.95.tar
- 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 al
sbgcop_0.95
- 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 al
Univariate_local_or_global_optimization
- Univariate local or global optimization matlab最优化工具包，可以进行最优化点的搜寻。
wave_cov
- 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 comput
sbgcop_0.95.tar
- 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 al
sbgcop_0.95
- 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 al
Univariate_local_or_global_optimization
- Univariate local or global optimization matlab最优化工具包，可以进行最优化点的搜寻。-Univariate local or global optimizationmatlab optimization tool kit can be carried out to optimize the search point.
qmle
- the text file QMLE contains the quasi maximum likelyhood estimating procedure and performing Information Matrix test for a univariate GARCH(1,1) model
fcm1
- 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
yanga
- 基于单变量的广义自适应预测控制程序，可应用于单输入单输出系统-Univariate broad-based adaptive predictive control procedures, can be applied to single-input single-output system
mmvn_toolkit
- A toolkit for Gaussian mixtures. flexible tools for: Generating univariate, multivariate, or mixtures of gaussians Interactive viewing tools allows viewing of multidimensional data and models. Initialize models,
svm_perf.tar
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1
gpfreeunivariate
- genetic programing for free cash forecasting in univariate setting
gpcfounivariate
- genetic programing for cash from operation forecasting in univariate setting
hgfrz
- 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
4.3-Bayesian-Approach-to-Univariate-Normal-Distri
- univariate normal distribution
Univariate Moran Index
- Univariate Moran's I 指数计算过程脚本，运用ArcGIS自带的arcpy工具包(Univariate Moran's I calculation scr ipt using ArcPy tool in ArcGIS Desktop software)
Kalman filter: Multivariate and Univariate
- This code allows to calculate the recursive kalman filter and to estimate kalman filter. The files are: 1) Calculate recursive univariate kalman filter 2) Calculate recurisve multivariate kalman filter 3) Estimate kalman