高维数据下基于统计推断的变量选择方法研究Research on Variable Selection Methods Based on Statistical Inference in High-Dimensional Data
丁 宁
统计学与应用Vol.14 No.3, 全文下载: PDF XML DOI:10.12677/sa.2025.143079, March 31 2025
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
基于多种降维算法的单细胞差异化分析及可视化Differential Analysis and Visualization of Single-Cell Based on Multiple Dimensionality Reduction Algorithms
杨泽明
应用数学进展Vol.14 No.4, 全文下载: PDF XML DOI:10.12677/aam.2025.144147, April 8 2025