Journal Of Time Series Analysis

杂志介绍

Journal Of Time Series Analysis杂志介绍

《Journal Of Time Series Analysis》是一本以English为主的未开放获取国际优秀期刊，中文名称时间序列分析杂志，本刊主要出版、报道数学-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.2，最新CiteScore 指数为2。

本刊近期中国学者发表的论文主要有：

• Higher-order asymptotics of minimax estimators for time series

  Author: Xu, Xiaofei; Liu, Yan; Taniguche, Masanobu

• Geometric ergodicity and conditional self-weighted M-estimator of a GRCAR(p) model with heavy-tailed errors

  Author: Li, Xiaoyan; Pan, Jiazhu; Song, Anchao

• Inference for high-dimensional linear models with locally stationary error processes

  Author: Xia, Jiaqi; Chen, Yu; Guo, Xiao

• Inference on a Structural Break in Trend with Fractionally Integrated Errors

  Author: sychang

英文介绍

Journal Of Time Series Analysis杂志英文介绍

During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic forecasting, study of biological data, control systems, signal processing and communications and vibrations engineering.

The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and applications, as well as review papers dealing with recent advances in major areas of the subject and short communications on theoretical developments. The editorial board consists of many of the world's leading experts in Time Series Analysis.