The Application of Sparse Clustering Algorithm in Chinese Stock Market

随着中国人日常生活水平的提高，人们已不再满足于拿固定的工资，越来越多的公民选择将自己手中的资金投资到股票市场，希望能够钱生钱。但并非所有股民都是金融专业人员，如何进行股票种类的选择与资金的分配已经成为越来越多的中国人所希望知道的问题。选择股票的两个基本原则就是低风险、高收益，那么如何在上万只股票中选择最适合自己的股票，如何缩小选择范围，如在某个行业内选择股票是本文所希望解决的问题。 众所周知，股票数据是动态的，随时间的推移而不断变化，因此传统分析股票的方法为时间序列分析法，基于随机过程理论和数理统计学方法，找出股票数据的内在规律，以解决实际应用的问题。时间序列分析最大的优点是实际数据的时间序...With the development of quality of lives among Chinese people, more and more citizens are no longer satisfied with the mere salaries, many of them choose to turn to the stock market to make their money derive larger amount of money. However, not everyone is professional in finance, most of them need advice on how to choose stocks and how to allocate their capital. Two basic principles of choosing ...学位：经济学硕士院系专业：经济学院_统计学学号：1542013115203

Reflections on Conventional Statistics in the Big Data Era

本文在大数据时代背景下,将统计学与大数据有机结合,剖析了大数据时代给统计学带来的变革,阐述了大数据为传统统计学带来的发展机遇。为了保持统计学旺盛的生命力,本文对统计学的发展提出了几点思考。In this paper,statistics and big data are integrated based on the operation of conventional statistics. We analyze the changes and development opportunities brought by big data to statistics. Also,in order to keep active,we propose some suggestions on the development of statistics.国家社会科学基金项目重大项目“大数据与统计学理论的发展研究”(13&ZD148);; 国家统计局统计科学研究所研究基地项目“网络舆情分析的统计方法及其应用”(201407)资