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isPartOf:"Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse"
~isPartOf:"The review of economics and statistics"
~subject:"Markov chain"
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Estimation theory
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Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
The review of economics and statistics
Journal of econometrics
22
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
9
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
8
Discussion paper / Tinbergen Institute
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Nonparametric estimation of scalar diffusions based on low frequency data is ill-posed
Gobet, Emmanuel
;
Hoffmann, Marc
;
Reiß, Markus
-
2002
Persistent link: https://www.econbiz.de/10001697748
Saved in:
2
Bayesian estimation of NIG-parameters by Markov chain Monte Carlo methods
Lillestøl, Jostein
-
2000
Persistent link: https://www.econbiz.de/10001582162
Saved in:
3
Asymptotic equivalence of estimating a poisson intensity and a positive diffusion drift
Genon-Catalot, Valentine
;
Laredo, Catherine
;
Nussbaum, …
-
2000
Persistent link: https://www.econbiz.de/10001528152
Saved in:
4
Using indirect inference to solve the initial-conditions problem
An, Mark Yuying
;
Liu, Ming
- In:
The review of economics and statistics
82
(
2000
)
4
,
pp. 656-667
Persistent link: https://www.econbiz.de/10001533491
Saved in:
5
Conditional heteroskedasticity driven by hidden Markov chains
Francq, Christian
;
Roussignol, Michel
;
Zakoïan, Jean-Michel
-
1998
Persistent link: https://www.econbiz.de/10000998050
Saved in:
6
Nonparametric estimation in null recurrent times series
Karlsen, Hans Arnfinn
;
Tjostheim, Dag
-
1998
Persistent link: https://www.econbiz.de/10000992263
Saved in:
7
Constructive asymptotic equivalence of density estimation and Gaussian white noise
Nussbaum, Michael
;
Klemelä, Jussi
-
1998
Persistent link: https://www.econbiz.de/10000992446
Saved in:
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