State-domain change point detection for nonlinear time series regression
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Standard
State-domain change point detection for nonlinear time series regression. / Cui, Yan; Yang, Jun; Zhou, Zhou.
I: Journal of Econometrics, 05.2023.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
Cui, Y, Yang, J & Zhou, Z 2023, 'State-domain change point detection for nonlinear time series regression', Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2021.11.007
APA
Cui, Y., Yang, J., & Zhou, Z. (2023). State-domain change point detection for nonlinear time series regression. Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2021.11.007
Vancouver
Cui Y, Yang J, Zhou Z. State-domain change point detection for nonlinear time series regression. Journal of Econometrics. 2023 maj. https://doi.org/10.1016/j.jeconom.2021.11.007
Author
Bibtex
@article{cd0951e8c4dd4dafae95634a31042923,
title = "State-domain change point detection for nonlinear time series regression",
author = "Yan Cui and Jun Yang and Zhou Zhou",
year = "2023",
month = may,
doi = "10.1016/j.jeconom.2021.11.007",
language = "English",
journal = "Journal of Econometrics",
issn = "0304-4076",
publisher = "Elsevier",
}
RIS
TY - JOUR
T1 - State-domain change point detection for nonlinear time series regression
AU - Cui, Yan
AU - Yang, Jun
AU - Zhou, Zhou
PY - 2023/5
Y1 - 2023/5
UR - http://dx.doi.org/10.1016/j.jeconom.2021.11.007
U2 - 10.1016/j.jeconom.2021.11.007
DO - 10.1016/j.jeconom.2021.11.007
M3 - Journal article
JO - Journal of Econometrics
JF - Journal of Econometrics
SN - 0304-4076
ER -
ID: 361385224