-
7.1 Bagging,RF&Adaboost
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.)
- 2019-05-23 13:28:17下载
- 积分：1
-
GARCH in mean VAR
一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)
- 2020-06-19 01:00:02下载
- 积分：1
-
cmd
制作pcoa、饼图、venn图、热图、柱状图的脚本，可直接改参数使用，内有注释，适用于微生物多样性(the Script to make PCOA)
- 2020-06-20 01:40:01下载
- 积分：1
-
数据挖掘 R语言实战
说明： 通过本书，读者不仅能掌握使用R及相关算法包来快速解决实际问题的方法，而且能从实际问题分析入手，到利用R进行求解，以及对挖掘结果进行分析的全面训练(Through this book, readers can not only master the method of using R and relevant algorithm packages to quickly solve practical problems, but also start from the analysis of practical problems to the comprehensive training of using R to solve problems and analyzing mining results)
- 2020-06-25 16:20:01下载
- 积分：1
-
midasr_0.6.tar
混频回归模型的r语言包，里边包括例题啥的。(The package of midas (mixed frequecncy), which includes the concrete code of some examples.)
- 2020-07-15 10:29:12下载
- 积分：1
-
ADSB_MATLAB
ADS-B接收，采用PlutoSDR板卡，基于matlab开发(ADS-B receives, uses PlutoSDR card, develops based on MATLAB)
- 2018-07-02 22:53:42下载
- 积分：1
-
R语言实战（第2版）中文
该书是一本较好的R语言编程书籍，从认识到实战，手把手教你如何使用R语言进行数据分析、挖掘、画图等等。(This book is a good R language programming book, from understanding to actual combat, teach you how to use R language data analysis, mining, drawing and so on.)
- 2020-06-25 16:40:02下载
- 积分：1
-
xgboost
实现xgboost算法，对实现分类和预测具有良好的效果(The implementation of xgboost algorithm has a good effect on classification and prediction)
- 2017-06-22 15:04:02下载
- 积分：1
-
GARCH in mean VAR
说明： 一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)
- 2020-06-19 01:00:02下载
- 积分：1
-
did
双重差分估计
双重差分模型（difference-in-difference，DID）近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。
通常大范围的公共政策有别于普通科研性研究，难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验（naturaltrial），此类试验存在较显著的特点，即不同组间样本在政策实施前可能存在事前差异，仅通过单一前后对比或横向对比的分析方法会忽略这种差异，继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)
- 2020-07-03 20:00:01下载
- 积分：1
