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isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
type_genre:"Graue Literatur"
~isPartOf:"Discussion paper / Statistics Netherlands"
~isPartOf:"Série des documents de travail"
~subject:"Kointegration"
~subject:"Regression analysis"
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Search: subject_exact:"Estimation theory"
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Kointegration
Regression analysis
Estimation theory
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Time series analysis
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Zeitreihenanalyse
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Nichtparametrisches Verfahren
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Gao, Jiti
21
Peng, Bin
5
Hyndman, Rob J.
4
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Gong, Xiaodong
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Zhang, Xibin
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Athanasopoulos, George
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Derumigny, Alexis
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Donga, Chaohua
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Shang, Han Lin
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Tjostheim, Dag
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Yan, Yayi
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Working paper / Department of Econometrics and Business Statistics, Monash University
Discussion paper / Statistics Netherlands
Série des documents de travail
CEMMAP working papers / Centre for Microdata Methods and Practice
93
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
66
Discussion papers of interdisciplinary research project 373
46
Cowles Foundation discussion paper
44
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36
CREATES research paper
24
KBI
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Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
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SFB 649 discussion paper
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Discussion papers / Courant Research Centre "Poverty, Equity and Growth in Developing and Transition Countries: Statistical Methods and Empirical Analysis"
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CAEPR working papers
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Cambridge working papers in economics
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Department of Economics discussion paper series / University of Oxford
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Discussion paper / University of Bristol, Department of Economics
6
Discussion papers / Graduate School of Economics, Hitotsubashi University
6
Discussion papers in economics / Center for Economic Analysis, Department of Economics, University of Colorado at Boulder : Working paper
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Working paper / Iowa State University, Department of Economics
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1
Time-varying vector error-correction models : estimation and inference
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2023
Persistent link: https://www.econbiz.de/10014452499
Saved in:
2
A localised neural network with dependent data: estimation and inference
Gao, Jiti
;
Peng, Bin
;
Yang, Yanrong
-
2023
Persistent link: https://www.econbiz.de/10014452592
Saved in:
3
Estimation of semiparametric multi- index models using deep neural networks
Donga, Chaohua
;
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2023
Persistent link: https://www.econbiz.de/10014452599
Saved in:
4
Robust M-estimation for additive single-index cointegrating time series models
Donga, Chaohua
;
Gao, Jiti
;
Peng, Bin
;
Tu, Yundong
-
2023
Persistent link: https://www.econbiz.de/10014315933
Saved in:
5
On Kalman filtering, parameter uncertainty and variances after single and multiple imputation
Knotterus, Paul
-
2022
Persistent link: https://www.econbiz.de/10012820006
Saved in:
6
Multi-level panel data models : estimation and empirical analysis
Feng, Guohua
;
Gao, Jiti
;
Peng, Bin
-
2022
Persistent link: https://www.econbiz.de/10013193952
Saved in:
7
Correcting for linkage errors in contingency tables : a cautionary tale
Scholtus, Sander
;
Shlomo, Natalie
;
Waal, Ton de
-
2020
Persistent link: https://www.econbiz.de/10012174811
Saved in:
8
A homogeneous approach to testing for granger non-causality in heterogeneous panels
Juodis, Artūras
;
Karavias, Yiannis
;
Sarafidis, Vasilis
-
2020
Persistent link: https://www.econbiz.de/10012610528
Saved in:
9
A general framework for multiple : recapture estimation that incorporates linkage error correction
Zult, Daan
;
Wolf, Peter-Paul de
;
Bakker, Bart F. M.
; …
-
2019
Persistent link: https://www.econbiz.de/10012174751
Saved in:
10
Dealing with the log of zero in regression models
Bellego, Christophe
;
Pape, Louis-Daniel
-
2019
Persistent link: https://www.econbiz.de/10012237463
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