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subject:"Zeitreihenanalyse"
~person:"Li, Degui"
~subject:"ARMA-Modell"
~subject:"Bandwidth selection"
~subject:"Correlation"
~subject:"Kapitaleinkommen"
~type_genre:"Arbeitspapier"
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Search: subject_exact:"Estimation theory"
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Zeitreihenanalyse
ARMA-Modell
Bandwidth selection
Correlation
Kapitaleinkommen
Estimation theory
15
Schätztheorie
15
Time series analysis
9
Nichtparametrisches Verfahren
8
Nonparametric statistics
8
Korrelation
3
ARCH model
2
ARCH-Modell
2
ARMA model
2
Business network
2
Cluster analysis
2
Clusteranalyse
2
Cointegration
2
Estimation
2
Kointegration
2
Regression analysis
2
Regressionsanalyse
2
Sampling
2
Schätzung
2
Stichprobenerhebung
2
Structural change
2
Strukturwandel
2
Unternehmensnetzwerk
2
VAR model
2
VAR-Modell
2
cluster analysis
2
latent groups
2
local linear estimator
2
Asymptotic normality
1
Cholesky decomposition
1
Dynamic covariance matrix
1
MAMAR
1
Modellierung
1
Nadaraya-Watson kernel estimation
1
Network
1
Netzwerk
1
Scientific modelling
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Arbeitspapier
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16
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Li, Degui
Gao, Jiti
39
Phillips, Peter C. B.
32
Koopman, Siem Jan
30
Nielsen, Morten Ørregaard
24
Pesaran, M. Hashem
23
Johansen, Søren
22
Linton, Oliver
22
Maravall Herrero, Agustín
22
Lütkepohl, Helmut
21
Sibbertsen, Philipp
21
Kapetanios, George
20
Franses, Philip Hans
19
Teräsvirta, Timo
18
Härdle, Wolfgang
17
Peng, Bin
17
Lucas, André
16
Hyndman, Rob J.
14
Croux, Christophe
13
Gouriéroux, Christian
13
Swanson, Norman R.
13
Diebold, Francis X.
12
Koop, Gary
12
Wolf, Michael
12
Bauwens, Luc
11
Gómez, Víctor
11
Ooms, Marius
11
Spokojnyj, Vladimir G.
11
Beran, Jan
10
Bibinger, Markus
10
Cai, Zongwu
10
Giraitis, Liudas
10
Marcellino, Massimiliano
10
Nielsen, Bent
10
Blasques, Francisco
9
Brännäs, Kurt
9
Caporale, Guglielmo Maria
9
Dong, Chaohua
9
Fried, Roland
9
Martin, Gael M.
9
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Working paper / Department of Econometrics and Business Statistics, Monash University
6
Discussion papers in economics
3
Cowles Foundation discussion paper
2
CEMMAP working papers / Centre for Microdata Methods and Practice
1
CREATES research paper
1
Econometrics papers
1
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ECONIS (ZBW)
14
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1
Inference of grouped time-varying network vector autoregression models
Li, Degui
;
Peng, Bin
;
Tang, Songqiao
;
Wu, Weibiao
-
2023
Persistent link: https://www.econbiz.de/10014316406
Saved in:
2
Estimation of grouped time-varying network vector autoregression models
Li, Degui
;
Peng, Bin
;
Tang, Songqiao
;
Wu, Weibiao
-
2024
Persistent link: https://www.econbiz.de/10014534134
Saved in:
3
A new semiparametric estimation approach for large dynamic covariance matrices with multiple conditioning variables
Chen, Jia
;
Li, Degui
;
Linton, Oliver
-
2018
-
Version: October 24, 2018
Persistent link: https://www.econbiz.de/10011941318
Saved in:
4
New semiparametric estimation procedure for functional coefficient longitudinal data models
Chen, Jia
;
Li, Degui
;
Xia, Yingcun
-
2015
Persistent link: https://www.econbiz.de/10011411615
Saved in:
5
Specification testing in nonstationary time series models
Chen, Jia
;
Gao, Jiti
;
Li, Degui
;
Lin, Zhengyan
-
2014
Persistent link: https://www.econbiz.de/10010411292
Saved in:
6
Uniform consistency for nonparametric estimators in null recurrent time series
Gao, Jiti
;
Kanaya, Shin
;
Li, Degui
;
Tjostheim, Dag
-
2013
Persistent link: https://www.econbiz.de/10009790613
Saved in:
7
Estimating smooth structural change in cointegration models
Phillips, Peter C. B.
;
Li, Degui
;
Gao, Jiti
-
2013
Persistent link: https://www.econbiz.de/10010189524
Saved in:
8
Nonparametric estimation and parametric calibration of time-varying coefficient realized volatility models
Chen, Xiangjin B.
;
Gao, Jiti
;
Li, Degui
;
Silvapulle, …
-
2013
Persistent link: https://www.econbiz.de/10010189526
Saved in:
9
Estimating smooth structural change in cointegration models
Philips, Peter C.
;
Li, Degui
;
Gao, Jiti
-
2013
Persistent link: https://www.econbiz.de/10010190229
Saved in:
10
Uniform consistency of nonstationary Kernel-Weighted sample covariances for nonparametric regression
Li, Degui
;
Phillips, Peter C. B.
;
Gao, Jiti
-
2013
Persistent link: https://www.econbiz.de/10010226787
Saved in:
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