References
- Aue, A., G. Rice, and O. Sonmez. 2018. Online supplement to “detecting and dating structural breaks” in functional data without dimension reduction. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80(3):509–29.
- Cavaliere, G. 2005. Unit root tests under time-varying variances. Econometric Reviews 23 (3):259–92. doi:10.1081/ETC-200028215.
- Cavaliere, G., and A. Taylor. 2008. Bootstrap unit root tests for time series with nonstationary volatility. Econometric Theory 24 (01):43–71. doi:10.1017/S0266466608080043.
- Cavaliere, G., and A. M. R. Taylor. 2007. Testing for unit roots in time series models with non-stationary volatility. Journal of Econometrics 140 (2):919–47. doi:10.1016/j.jeconom.2006.07.019.
- Doukhan, P. 1994. Mixing: Properties and examples. Lecture Notes in Statistics. Vol. 85. New York: Springer Verlag.
- Górecki, T., L. Horváth, and P. Kokoszka. 2018. Change point detection in heteroscedastic time series. Econometrics and Statistics 7 (C):63–88. doi:10.1016/j.ecosta.2017.07.005.
- Kim, T. 1994. Moment bounds for non-stationary dependent sequences. Journal of Applied Probability 31 (3):731–42. doi:10.2307/3215151.
- Móricz, F. 1976. Moment inequalities and the strong laws of large numbers. Z. Wahrscheinlichkeitstheorie Verw Gebiete 35:299–314.
- Pešta, M., and M. Wendler. 2020. Nuisance-parameter-free changepoint detection in non-stationary series TEST. 29 (2):379–408. doi:10.1007/s11749-019-00659-1.
- Wooldridge, J., and H. White. 1988. Some invariance principles and central limit theorems for dependent heterogeneous processes. Econometric Theory 4 (2):210–30. doi:10.1017/S0266466600012032.
- Xu, K.-L. 2015. Testing for structural change under non-stationary variances. The Econometrics Journal 18 (2):274–305. doi:10.1111/ectj.12049.