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subject:"Time series analysis"
~isPartOf:"Cambridge-INET working papers"
~isPartOf:"Econometric theory"
~person:"Linton, Oliver"
~person:"Wang, Qiying"
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Linton, Oliver
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Nonparametric recovery of the yield curve evolution from cross-section and time series information
Koo, Bonsoo
;
La Vecchia, Davide
;
Linton, Oliver
-
2019
Persistent link: https://www.econbiz.de/10012697699
Saved in:
2
Quantilograms under strong dependence
Lee, Ji Hyung
;
Linton, Oliver
;
Whang, Yoon-jae
- In:
Econometric theory
36
(
2020
)
3
,
pp. 457-487
Persistent link: https://www.econbiz.de/10012240727
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3
Nonparametric cointegrating regression with endoogeneity and long memory
Wang, Qiying
;
Phillips, Peter C. B.
- In:
Econometric theory
32
(
2016
)
2
,
pp. 359-401
Persistent link: https://www.econbiz.de/10011578489
Saved in:
4
Specification testing in nonlinear time series with long-range dependence
Gao, Jiti
;
Wang, Qiying
;
Yin, Jiying
- In:
Econometric theory
27
(
2011
)
2
,
pp. 260-284
Persistent link: https://www.econbiz.de/10009310805
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5
Asymptotic theory for local time density estimation and nonparametric cointegrating regression
Wang, Qiying
;
Phillips, Peter C. B.
- In:
Econometric theory
25
(
2009
)
3
,
pp. 710-738
Persistent link: https://www.econbiz.de/10003864160
Saved in:
6
Nonparametric inference for unbalanced time series data
Linton, Oliver
- In:
Econometric theory
21
(
2005
)
1
,
pp. 143-157
Persistent link: https://www.econbiz.de/10002674653
Saved in:
7
The live method for generalized additive volatility models
Kim, Woocheol
;
Linton, Oliver
- In:
Econometric theory
20
(
2004
)
6
,
pp. 1094-1139
Persistent link: https://www.econbiz.de/10002424857
Saved in:
8
The invariance principle for linear processes with applications
Wang, Qiying
;
Lin, Yan-xia
;
Gulati, Chandra M.
- In:
Econometric theory
18
(
2002
)
1
,
pp. 119-139
Persistent link: https://www.econbiz.de/10001652633
Saved in:
9
Adaptive estimation in ARCH models
Linton, Oliver
- In:
Econometric theory
9
(
1993
)
4
,
pp. 539-569
Persistent link: https://www.econbiz.de/10001156716
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