New associate editors

IF 1.2 4区数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Time Series Analysis Pub Date : 2022-08-21 DOI:10.1111/jtsa.12665

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Abstract

We welcome Dr Tucker McElroy and Professor Stathis Paparoditis to the editorial board of the Journal of Time Series Analysis, who both join as Associate Editors with immediate effect.

Tucker McElroy is senior time series mathematical statistician at the US Census Bureau. His research interests are seasonal adjustment, signal extraction, and frequency domain methodology. He has several projects on GitHub, including the R package Ecce Signum for multivariate time series, and has published his research in Annals of Statistics, JASA, Biometrika, JRSSB, and JTSA, among others.

Stathis Paparoditis is Professor of Mathematical Statistics at the University of Cyprus. His research interests cover nonparametric methods for univariate, multivariate and functional time series, including bootstrap and resampling methods, tests of stationarity, goodness-of-fit tests, and prediction. He has published his research in Annals of Statistics, JRSSB, JASA, Biometrika, Bernoulli, Econometrica, Econometric Theory, Journal of Econometrics, and JTSA, among others.

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新助理编辑

我们欢迎Tucker McElroy博士和Stathis Paparoditis教授加入《时间序列分析杂志》编委会，他们都将立即担任副主编。Tucker McElroy是美国人口普查局的高级时间序列数学统计学家。他的研究兴趣是季节调整、信号提取和频域方法。他在GitHub上有几个项目，包括用于多变量时间序列的R包Ecce Signum，并在《统计年鉴》、JASA、Biometrika、JRSSB和JTSA等杂志上发表了他的研究。Stathis Paparoditis是塞浦路斯大学数理统计教授。他的研究兴趣包括单变量、多变量和函数时间序列的非参数方法，包括bootstrap和重采样方法、平稳性检验、拟合优度检验和预测。他在《统计学年鉴》、JRSSB、JASA、Biometrika、Bernoulli、Econometrica、Ecometric Theory、Journal of Econometrics和JTSA等杂志上发表了他的研究成果。

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来源期刊

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

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.