1.
The Simulation and Forecast of Shanghai Stock Index Based on Vector Autoregression Model;
基于向量自回归方法的上证指数模拟和预测
2.
The vector autoregressive model of Chinese industrial structure trend analysis;
中国产业结构趋势分析的向量自回归模型
3.
Vector Autoregressive Model Selection Based on Gibbs Sampler;
基于吉伯斯样本生成器的向量自回归模型选择
4.
Empirical Analysis of the VAR Model on Exchange Rate Microstructure
汇率微观结构决定的向量自回归模型实证研究
5.
A Research on the Relationship between Stock Price and Macroeconomic Variables Based on Vector Autoregression Model;
基于向量自回归方法的股票价格与宏观经济变量关系研究
6.
Research on the Influence Factors of the Stock Return Volatility with Vector Regression Approach and Variance Decomposition;
用向量自回归和方差分解研究股票收益波动的影响因素
7.
The Research on the Effectiveness of Monetary Policy Transmission Mechanism Based on Vector Autoregressive Model;
基于向量自回归模型的我国货币政策传导机制有效性研究
8.
The Analysis of Factors Influencing Technology Progress of China--An Empirical Study Based on VAR model;
中国技术进步影响因素研究(1981～2006年)——基于向量自回归模型实证分析
9.
Empirical Analysis of Chinese Price Fluctuation Based on SVAR Model
基于结构向量自回归模型的我国物价波动实证分析
10.
VAR Model and Volatility Analysis:An Empirical Study to Shanghai and Shenzhen Stock Market in Price Limits System
涨跌停板制度下沪深股市向量自回归模型及波动性的协整分析
11.
An Online Learning Algorithm of Support Vector Regression Based on Natural Gradient
基于自然梯度的支持向量回归在线算法
12.
Adaptive Weighted Least Square Support Vector Machine Regression and Its Application
自适应加权最小二乘支持向量机回归及应用
13.
Regress our first independent variable x1 on our second independent variable x2 , and then obtain the residual .
将第一个自变量向第二个自变量进行回归，然后得到残差。
14.
Optimization of Calibration Interval for Automatic Test System Based on Support Vector Regression
基于支持向量回归的自动测试系统校准间隔动态优化
15.
A Stepwise Regression--Autoregression Mathematical Model of Multiple Dependent Variables for Predication the Preperties of Water in X lake
X湖水质预测的多因变量逐步回归——自回归模型
16.
Research on Automated Regression Testing Technologies of GUIs;
面向GUI的自动化回归测试技术研究
17.
Going against Superior and Regression--A Brief Discussion on Trend of Natural Science in the 21st Century;
僭妄与回归——简论21世纪自然科学走向
18.
Research on Model Selection for Support Vector Regression and Application of It;
支持向量回归的模型选择及应用研究