Inference for Time Series Regression Models With Weakly Dependent and Heteroscedastic Errors

Author:

Rho Yeonwoo,Shao Xiaofeng

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Cited by 8 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. Self‐normalization inference for linear trends in cointegrating regressions;Journal of Time Series Analysis;2024-08-28

2. A CENTRAL LIMIT THEOREM FOR THE BOOTSTRAP OF MODULATED STATIONARY PROCESSES;Advances and Applications in Statistics;2022-08-17

3. Self-Normalization Inference for Linear Trends in Cointegrating Regressions;SSRN Electronic Journal;2022

4. Modelling the COVID‐19 infection trajectory: A piecewise linear quantile trend model*;Journal of the Royal Statistical Society: Series B (Statistical Methodology);2021-08-12

5. A distribution free test for changes in the trend function of locally stationary processes;Electronic Journal of Statistics;2021-01-01

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