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1
Boosting the HP filter for trending time series with long range dependence
Biswas, Eva
;
Sabzikar, Farzad
;
Phillips, Peter C. B.
-
2022
Persistent link: https://www.econbiz.de/10013464252
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2
Robust testing for explosive behavior with strongly dependent errors
Lui, Yiu Lim
;
Phillips, Peter C. B.
;
Yu, Jun
-
2022
Persistent link: https://www.econbiz.de/10013464259
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3
Weak identification of long memory with implications for inference
Li, Jia
;
Phillips, Peter C. B.
;
Shi, Shuping
;
Yu, Jun
-
2022
Persistent link: https://www.econbiz.de/10013326614
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4
A general limit theory for nonlinear functionals of nonstationary time series
Wang, Qiying
;
Phillips, Peter C. B.
-
2022
Persistent link: https://www.econbiz.de/10013326692
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5
Discrete fourier transforms of fractional processes with econometric applications
Phillips, Peter C. B.
-
2021
Persistent link: https://www.econbiz.de/10012807741
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6
Coresets for time series clustering
Huang, Lingxiao
;
Sudhir, K.
;
Vishnoi, Nisheeth K.
-
2021
Persistent link: https://www.econbiz.de/10012807851
Saved in:
7
Boosting the Hodrick-Prescott filter
Phillips, Peter C. B.
;
Shi, Zhentao
-
2019
Persistent link: https://www.econbiz.de/10012062406
Saved in:
8
Boosting: why you can use the HP filter
Phillips, Peter C. B.
;
Shi, Zhentao
-
2019
Persistent link: https://www.econbiz.de/10012132071
Saved in:
9
Random coefficient continuous systems : testing for extreme sample path behaviour
Tao, Yubo
;
Phillips, Peter C. B.
;
Yu, Jun
-
2017
Persistent link: https://www.econbiz.de/10011797227
Saved in:
10
Business cycles, trend elimination, and the HP filter
Phillips, Peter C. B.
;
Jin, Sainan
-
2015
Persistent link: https://www.econbiz.de/10011312319
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