高维数据降维中的PCA与CUR分解对比分析PCA and CUR Decomposition Analysis in Dimensionality Reduction of High-Dimensional Data
何丽萍 科研立项经费支持
统计学与应用Vol.9 No.2, 全文下载: PDF HTML XML DOI:10.12677/SA.2020.92028, April 17 2020
思政元素融入多元统计分析课程教学中的探索——以降维方法章节教学为例Exploration of Integrating Ideological and Political Elements into the Teaching of Multiple Statistical Analysis Course—Taking the Chapter Teaching of Dimensionality Reduction Methods as an Example
朱笑雨, 李 龙 科研立项经费支持
创新教育研究Vol.11 No.10, 全文下载: PDF HTML XML DOI:10.12677/CES.2023.1110451, October 13 2023
高维因子模型两类“主成分”估计的比较——以S & P 500股票数据分析为例Comparison of Two Types of Principal Component Estimation in High-Dimensional Factor Model—A Case Study of S & P 500 Stock Data Analysis
刘艺天
统计学与应用Vol.13 No.2, 全文下载: PDF HTML XML DOI:10.12677/sa.2024.132045, April 24 2024
股票市场数据的低维模拟 Simulations for Data of Stock Market in Low-Dimensions
赵祖鹏, 方卫东
统计学与应用Vol.8 No.1, 全文下载: PDF HTML XML DOI:10.12677/SA.2019.81017, February 19 2019
主成分分析的几个应用理解及R语言实践Several Applications of Principal Component Analysis and Corresponding R Language Practice
赵 霂, 李裕梅
数据挖掘Vol.11 No.4, 全文下载: PDF HTML XML DOI:10.12677/HJDM.2021.114019, September 30 2021
基于因子分析的基金评价研究 Research on Fund Evaluation Based on the Factor Analysis
魏劲如
统计学与应用Vol.8 No.1, 全文下载: PDF HTML XML DOI:10.12677/SA.2019.81005, January 16 2019