Volume 49 | Number 5 | Year 2017 | Article Id. IJMTT-V49P541 | DOI : https://doi.org/10.14445/22315373/IJMTT-V49P541
Han Song, Liu Na, "The Superposition of Markov Chain and the Prediction of Consumer Price Index," International Journal of Mathematics Trends and Technology (IJMTT), vol. 49, no. 5, pp. 267-273, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V49P541
[1]. Zhu Peijin. Ms-ar model based on China's price index empirical analysis [J]. Zhejiang Financial and 2015,08:14-18. author, author. The article [J]. Name of the journal name, year, Vol volume number (issue): the starting page number page termination.
[2]. Wei Jiang Liu, Li Yingqiao, Sui Jianli. Network consumer confidence index and the price fluctuation correlation [J]. Journal of Shandong University (PHILOSOPHY AND SOCIAL SCIENCES EDITION), 2015,06:65-76.
[3]. Tong Di, Zhang Wenbin. The asymmetric response of the private lending rate to macroeconomic shocks: a case study of Wenzhou [J]. China's economic problems, 2013,04:80-90.
[4]. research group, Huangshi Central Branch of the people's Bank of China, Cai Zhixiong, Liang Jian. Empirical analysis of the dynamic relationship between price level and economic growth, monetary policy [J]. Wuhan finance, 2012,07:14-17+45.
[5]. Teng fly to Zhuoxi. Based on Markov chain model of China's consumer price index analysis and prediction [J]. Information technology , 2014,12:44+49.
[6]. Xiao Tao Ren, Teng Yang Chun, Liu da. [J]. Modern commercial prediction based on Hidden Markov's consumer price index, 2010,03:218-219.
[7]. Chen Liang. The historical evolution and prediction of China's consumer price index [D]. Jilin University, 2013
[8]. Hou Zengyan. Markov chain in China CPI [J]. Chinese price trend analysis based on 2008,11:39-41+38.
[9]. Lu Yingchao. Study on the dynamic characteristics of inflation and the identification of the cause of formation in the open economy [D]. Jilin University, 2015.