搜索资源列表
Dynamic_Copula_Toolbox._1
- The toolbox contains functions to estimate and simulate multivariate copula GARCH models and Copula Vines. Supported copulas are the Gaussian and the T Copula. For the dynamic correlations, various specifications are supported.
multivariate
- 《多元数据分析》是我正在看的一本书，把该书带的光盘内容上传到此。希望对其他人有用。- "Multi- Numbers according to Analysis" are I a book which looked, passes to this in this book belt compact disc content. Hopes to other person of useful.
arstepfit
- Stepwise least squares estimation of multivariate AR model
suijiguocheng
- 这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用-This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian proces
fsmem_mvgm
- Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate
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,y1), ..., (xn,yn). Unlike reg
xx
- 多变量混沌时间序列预测及其在股票市场中的应用 硕士论文-Multivariate Chaotic Time Series Prediction and Its Application in the stock market in the master' s thesis
Dynamic_system_multivariate
- Dynamic system multivariate calibration with low-sampling-rate y data. dynamic multirate multivariate calibration-Dynamic system multivariate calibration with low-sampling-rate y data. dynamic multirate multivariate calibration
amrandom
- This a random source code for delphi. Examples ramdom functions as follows: The following Random Number Generators: - Normal (Gaussian) - Gamma - Chi-squared - Exponential - Weibull - Beta - t - Mult
GCCA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的广义典型相关分析（GCCA）Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis using generalized canonical correlation analysis (GCCA) Matlab code implementation.
LDA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的fisher鉴别分析（FLDA）Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis of the fisher discriminant analysis (FLDA) Matlab code implementation.
MAR
- 语音分析软件，多变量自动回归模型。主要是用来对语音信号进行长时分析。计算MAR特征-Voice analysis software, multivariate automatic regression model. Is primarily used for voice signal analysis of long. MAR features calculated
PCAxmeas_fault1
- 主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 -Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process
beiyesi
- 1 通过实验，掌握多元正态分布的最大似然估计； 2 掌握多元正态分布下的最小错误率的贝叶斯分类； 3 对其他的参数估计有更深的认识。 -1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
mc_rvm
- Multivariate Relevance Vector Machines
Multivariate-prediction-model
- 多变量灰色预测模型算法的Matlab实现，一个网络流量模型与算法-Multivariate prediction model gray Matlab implementation of the algorithm, a network traffic model and algorithm
EM-for-HMM-Multivariate-Gaussian-processes
- Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
Introduction to Multivariate Statistical Analysis in Chemometrics
- BOOK Kurt Varmuza, Peter Filzmoser-Introduction to Multivariate Statistical Analysis in Chemometrics-CRC Press (2009)
Applied multivariate statistics
- Multivariate statitiscs and their applications