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Trend locally stationary wavelet processes

Published:2022-03-02 Issue:6 Volume:43 Page:895-917
ISSN:0143-9782
Container-title:Journal of Time Series Analysis
language:en
Short-container-title:Journal Time Series Analysis

Author:

McGonigle Euan T.¹²^ORCID,Killick Rebecca³^ORCID,Nunes Matthew A.⁴^ORCID

Affiliation:

1. STOR‐i Centre for Doctoral Training Lancaster University Lancaster UK

2. School of Mathematics University of Bristol Bristol UK

3. Department of Mathematics and Statistics Lancaster University Lancaster UK

4. Department of Mathematical Sciences University of Bath Bath UK

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jtsa.12643

Reference51 articles.

1. Distinguishing Trends and Shifts from Memory in Climate Data

2. SEMIFAR models—a semiparametric approach to modelling trends, long-range dependence and nonstationarity

3. Slowing down of North Pacific climate variability and its implications for abrupt ecosystem change

4. Some river wavelets

5. Locally Stationary Wavelet Packet Processes: Basis Selection and Model Fitting

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TrendLSW: Wavelet Methods for Analysing Locally Stationary Time Series;CRAN: Contributed Packages;2024-04-22

2. Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series;Journal of Computational and Graphical Statistics;2024-01-29

3. Modelling local climate change using site-based data;Environmental and Ecological Statistics;2023-06

4. Robust multiscale estimation of time-average variance for time series segmentation;Computational Statistics & Data Analysis;2023-03

5. Modelling time-varying first and second-order structure of time series via wavelets and differencing;Electronic Journal of Statistics;2022-01-01

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