编辑公告

IF 1.2 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Time Series Analysis Pub Date : 2023-03-03 DOI:10.1111/jtsa.12681
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引用次数: 0

摘要

我谨代表《时间序列分析杂志》的编委会和读者,借此机会感谢Steve Leybourne教授和Dag Tjøstheim教授自2013年1月以来作为《时间序列研究杂志》的联合编辑以及在此之前作为该杂志的副编辑所做的奉献。自2023年2月28日起,双方均已辞职。然而,我非常高兴地宣布,Steve和Dag已同意从2023年3月1日起成为《时间序列分析杂志》的顾问编辑。我很高兴欢迎Alexander Aue和Christian Francq成为《时间系列分析杂志》新的联合编辑,Alexander Aue是加州大学戴维斯分校统计系教授。他的研究兴趣是时间序列分析、结构断裂和高维统计学。他最近的工作是设计函数时间序列的方法论,以及将随机矩阵理论应用于高维推理问题。Christian Francq是CREST实验室成员,里尔大学和ENSAE应用数学教授,教授时间序列分析和金融计量经济学。他的主要研究方向包括金融和时间序列计量经济学,以及理论计量经济学。他是发表在统计和计量经济学期刊上的几篇文章的作者和合著者。他目前的研究重点是风险估计、波动率模型估计和时变贝塔模型。
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Editorial announcement

On behalf of both the editorial board and the readership of the Journal of Time Series Analysis, I would like to take this opportunity to thank Professor Steve Leybourne and Professor Dag Tjøstheim very much for their dedicated service as Co-Editors of the Journal of Time Series Analysis since January 2013, and as Associate Editors of the journal prior to that. Both have stepped down with effect from 28th February 2023. I am, however, very pleased to announce that both Steve and Dag have agreed to become Advisory Editors of the Journal of Time Series Analysis in each case with effect from 1st March 2023.

I am delighted to welcome Alexander Aue and Christian Francq as new Co-Editors of the Journal of Time Series Analysis, in each case effective from 1st March 2023.

Alexander Aue is a professor in the Department of Statistics at the University of California, Davis. His research interests are in time series analysis, structural breaks and high-dimensional statistics. His most recent work is on devising methodology for functional time series and on applying random matrix theory to high-dimensional inference problems.

Christian Francq is a member of the CREST Laboratory and professor of Applied Mathematics at the University of Lille and ENSAE, where he teaches time series analysis and financial econometrics. His main research interests include financial and time series econometrics, as well as theoretical econometrics. He is the author and co-author of several articles published in statistical and econometric journals. His current research focuses on risk estimation, estimation of volatility models and models for time-varying betas.

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来源期刊
Journal of Time Series Analysis
Journal of Time Series Analysis 数学-数学跨学科应用
CiteScore
2.00
自引率
0.00%
发文量
39
审稿时长
6-12 weeks
期刊介绍: 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.
期刊最新文献
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios Mixing properties of non‐stationary multi‐variate count processes Mean‐preserving rounding integer‐valued ARMA models Forecasting the yield curve: the role of additional and time‐varying decay parameters, conditional heteroscedasticity, and macro‐economic factors Weighted discrete ARMA models for categorical time series
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