▍1. GARCH in mean VAR
说明: 一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)
说明: 一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)
说明: 对卡方检验进行拟合,计算理论分布,计算理论概率,作出检验(Fit chi square test, calculate theoretical distribution, calculate theoretical probability and make test)
说明: 进行了常微分方程的建立,并模拟出经典的SIR模型曲线(The ordinary differential equation is established and the classical SIR model curve is simulated)
说明: garch copula 带论文和code例句(garch copula with paper and code)
说明: 金融时间序列第九章的代码加数据,用的r语言(Analysis of Financial Time Series 3th)
说明: 利用R语言,根据GARCH模型进行波动率的预测。(GARCH model is used to forecast volatility.)
说明: R语言对数据进行Garch-M-Copula建模并利用EM算法估计相应的参数(Garch-m-copula is used to model the data in R language and EM algorithm is used to estimate the corresponding parameters)
代码详细解释了bagging方法的运用,以及包含了详细的bagging代码(The code explains the application of bagging method in detail, and contains detailed bagging code.)
说明: 代码详细解释了bagging方法的运用,以及包含了详细的bagging代码(The code explains the application of bagging method in detail, and contains detailed bagging code.)
从plots文件中读取目标站点信息 从station文件读取气象站点信息 自动匹配距离目标站点最近的气象站名称(Automatically match the closest meteorogical station of subject plot.)
说明: 从plots文件中读取目标站点信息 从station文件读取气象站点信息 自动匹配距离目标站点最近的气象站名称(Automatically match the closest meteorogical station of subject plot.)
说明: R语言舍选法、极坐标法、Box-Muller变换产生正态随机变量(R Language Rounding Method, Polar Coordinate Method and Box-Muller Transform to Generate Normal Random Variables)
The source code of data analysis using R language does not contain data sets. If you need to contact us
说明: The source code of data analysis using R language does not contain data sets. If you need to contact us
《时间序列分析及应用:R语言,潘红宇》书籍分享(Time Series Analysis and Application: R Language, Pan Hongyu)
说明: 《时间序列分析及应用:R语言,潘红宇》书籍分享(Time Series Analysis and Application: R Language, Pan Hongyu)
该文档中包含大量代码,首先是一些R语言基本语法练习的,然后是一些机器学习相关的,最后是一些评分卡指标计算、建模相关的。(This document contains a lot of code, first some basic grammar exercises of R language, then some machine learning related, and finally some scorecard index calculation, modeling related.)
说明: 该文档中包含大量代码,首先是一些R语言基本语法练习的,然后是一些机器学习相关的,最后是一些评分卡指标计算、建模相关的。(This document contains a lot of code, first some basic grammar exercises of R language, then some machine learning related, and finally some scorecard index calculation, modeling related.)
能检测各种高德地图的端口的比特率和串口数据,也可以修改数据(High speed rate modifier)
利用R语言进行两个变量的空间自相关分析,从而进行克里金插值(The spatial autocorrelation analysis of two variables is carried out by using R language.)