Journal of Time Series Analysis
1980 - 2025
Current editor(s): M.B. Priestley From Wiley Blackwell Bibliographic data for series maintained by Wiley Content Delivery (). Access Statistics for this journal.
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Volume 39, issue 6, 2018
- Editorial Announcement pp. 813-813

- Robert Taylor
- Special Issue of the Journal of Time Series Analysis In Honour of Professor Paul Newbold: Guest Editors' Introduction pp. 814-815

- Stephen Leybourne and Robert Taylor
- Unit Root Testing with Unstable Volatility pp. 816-835

- Brendan Beare
- Testing the CVAR in the Fractional CVAR Model pp. 836-849

- Soren Johansen and Morten Nielsen
- Confidence Sets for the Date of a Structural Change at the End of a Sample pp. 850-862

- Eiji Kurozumi
- Real‐Time Monitoring for Explosive Financial Bubbles pp. 863-891

- Sam Astill, David Harvey, Stephen Leybourne, Robert Sollis and Robert Taylor
- Mildly Explosive Autoregression Under Stationary Conditional Heteroskedasticity pp. 892-908

- Stelios Arvanitis and Tassos Magdalinos
- Modeling the Interactions between Volatility and Returns using EGARCH‐M pp. 909-919

- Andrew Harvey and Rutger-Jan Lange
- The Fixed Volatility Bootstrap for a Class of Arch(q) Models pp. 920-941

- Giuseppe Cavaliere, Rasmus Søndergaard Pedersen and Anders Rahbek
- Unit Root Testing in Multiple Smooth Break Models with Nonlinear Dynamics pp. 942-952

- Rickard Sandberg
- On the Comparison of Interval Forecasts pp. 953-965

- Ross Askanazi, Francis Diebold, Frank Schorfheide and Minchul Shin
- Change Detection and the Causal Impact of the Yield Curve pp. 966-987

- Shuping Shi, Peter Phillips and Stan Hurn
Volume 39, issue 5, 2018
- Editorial, September 2018 pp. 639-639

- Robert Taylor
- Tata Subba Rao, 1942–2018 pp. 640-640

- Granville Tunnicliffe Wilson
- Balanced Bootstrap Joint Confidence Bands for Structural Impulse Response Functions pp. 641-664

- Stefan Bruder and Michael Wolf
- Detecting Tail Risk Differences in Multivariate Time Series pp. 665-689

- Yannick Hoga
- Prediction Interval for Autoregressive Time Series via Oracally Efficient Estimation of Multi‐Step‐Ahead Innovation Distribution Function pp. 690-708

- Juanjuan Kong, Lijie Gu and Lijian Yang
- Tests for Comparing Time‐Invariant and Time‐Varying Spectra Based on the Pearson Statistic pp. 709-730

- Shibin Zhang and Xin M. Tu
- Testing Separability of Functional Time Series pp. 731-747

- Panayiotis Constantinou, Piotr Kokoszka and Matthew Reimherr
- A Time‐Symmetric Self‐Normalization Approach for Inference of Time Series pp. 748-762

- Liliya Lavitas and Ting Zhang
- Change‐Point Detection in Autoregressive Models with no Moment Assumptions pp. 763-786

- Fumiya Akashi, Holger Dette and Yan Liu
- Discrete‐Time Approximation of a Cogarch(p,q) Model and its Estimation pp. 787-809

- Stefano Iacus, Lorenzo Mercuri and Edit Rroji
Volume 39, issue 4, 2018
- Testing Normality of Functional Time Series pp. 471-487

- Tomasz Górecki, Siegfried Hörmann, Lajos Horváth and Piotr Kokoszka
- A Powerful Test for Changing Trends in Time Series Models pp. 488-501

- Jilin Wu and Zhijie Xiao
- Principal Components Analysis of Periodically Correlated Functional Time Series pp. 502-522

- Šukasz Kidziński, Piotr Kokoszka and Neda Mohammadi Jouzdani
- Boundary Limit Theory for Functional Local to Unity Regression pp. 523-562

- Anna Bykhovskaya and Peter Phillips
- Kernel Entropy Estimation for Linear Processes pp. 563-591

- Hailin Sang, Yongli Sang and Fangjun Xu
- On Local Trigonometric Regression Under Dependence pp. 592-617

- Jan Beran, Britta Steffens and Sucharita Ghosh
- A Frequency†Domain Test to Check Equality in Spectral Densities of Multiple Time Series With Unequal Lengths pp. 618-633

- Lei Jin
- Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition, by William Q. Meeker, Gerald J. Hahn, and Louis A. Escobar. Wiley Series in Probability and Statistics, Published by John Wiley & Sons, 2017. Total number of pages: 35+592. ISBN: 978†0†4716†8717†7 pp. 634-635

- Maria Antónia Amaral Turkman
Volume 39, issue 3, 2018
- Editorial pp. 241-241

- Soumendra N. Lahiri, Dimitris N. Politis and Peter M. Robinson
- On Wigner–Ville Spectra and the Uniqueness of Time†Varying Copula†Based Spectral Densities pp. 242-250

- Stefan Birr, Holger Dette, Marc Hallin, Tobias Kley and Stanislav Volgushev
- Semi†Parametric Estimation for Non†Gaussian Non†Minimum Phase ARMA Models pp. 251-272

- Richard A. Davis and Jing Zhang
- Asymptotic Distributions of Some Scale Estimators in Nonlinear Models With Long Memory Errors Having Infinite Variance pp. 273-298

- Hira L. Koul and Donatas Surgailis
- Recursive Computation for Block†Nested Covariance Matrices pp. 299-312

- Tucker McElroy
- Orthogonal Samples for Estimators in Time Series pp. 313-337

- Suhasini Subba Rao
- Stationary subspace analysis of nonstationary processes pp. 338-355

- Raanju Ragavendar Sundararajan and Mohsen Pourahmadi
- Extending the Range of Validity of the Autoregressive (Sieve) Bootstrap pp. 356-379

- Maria Fragkeskou and Efstathios Paparoditis
- Non†Parametric Spectral Density Estimation Under Long†Range Dependence pp. 380-401

- Young Min Kim, Soumendra N. Lahiri and Daniel J. Nordman
- Asymptotic Theory of Test Statistic for Sphericity of High†Dimensional Time Series pp. 402-416

- Yan Liu, Yurie Tamura and Masanobu Taniguchi
- Robust Regression on Stationary Time Series: A Self†Normalized Resampling Approach pp. 417-432

- Fumiya Akashi, Shuyang Bai and Murad S. Taqqu
- Estimating MA Parameters through Factorization of the Autocovariance Matrix and an MA†Sieve Bootstrap pp. 433-446

- Timothy L. McMurry and Dimitris N. Politis
- Interval Estimation for a First†Order Positive Autoregressive Process pp. 447-467

- Wei†Cheng Hsiao, Hao†Yun Huang and Ching†Kang Ing
Volume 39, issue 2, 2018
- Oracle Properties, Bias Correction, and Bootstrap Inference for Adaptive Lasso for Time Series M†Estimators pp. 111-128

- Francesco Audrino and Lorenzo Camponovo
- Inference on Multivariate Heteroscedastic Time Varying Random Coefficient Models pp. 129-149

- Liudas Giraitis, George Kapetanios and Tony Yates
- Integer†Valued Autoregressive Models With Survival Probability Driven By A Stochastic Recurrence Equation pp. 150-171

- Paolo Gorgi
- The Inverse Kullback–Leibler Method for Fitting Vector Moving Averages pp. 172-191

- Tucker McElroy and Anindya Roy
- Negative Binomial Quasi†Likelihood Inference for General Integer†Valued Time Series Models pp. 192-211

- Abdelhakim Aknouche, Sara Bendjeddou and Nassim Touche
- Square†Root LASSO for High†Dimensional Sparse Linear Systems with Weakly Dependent Errors pp. 212-238

- Fang Xie and Zhijie Xiao
Volume 39, issue 1, 2018
- Editorial, January 2018 pp. 3-3

- Robert Taylor
- Tests for the Equality of Two Processes' Spectral Densities with Unequal Lengths Using Wavelet Methods pp. 4-27

- Linyuan Li and Kewei Lu
- Block Bootstrap for the Empirical Process of Long†Range Dependent Data pp. 28-53

- Johannes Tewes
- A Simple Test for White Noise in Functional Time Series pp. 54-74

- Pramita Bagchi, Vaidotas Characiejus and Holger Dette
- Fourier Analysis of Serial Dependence Measures pp. 75-89

- Ria Van Hecke, Stanislav Volgushev and Holger Dette
- Robust Wilcoxon†Type Estimation of Change†Point Location Under Short†Range Dependence pp. 90-104

- Carina Gerstenberger
- Hidden Markov Models for Time Series: An Introduction Using R, 2nd Edition, by Walter Zucchini, Iain L. Macdonald, and Roland Langrock. Monographs on Statistics and Applied Probability 150, Published by CRC Press, 2016. Total number of pages: 28+370. ISBN: 978†1†4822†5383†2 (Hardback) pp. 105-106

- Zudi Lu
- Applied Time Series Analysis With R, Second Edition by Wayne A. Woodward, Henry L. Gray, and Alan C. Elliott (eds). Published by CRC Press, 2017. Total number of pages: 618. ISBN: 9781498734226 pp. 107-107

- Rebecca Killick
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