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~institution:"Zentrum für Finanzen und Ökonometrie, Fachbereich Wirtschaftswissenschaften"
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long memory
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Zentrum für Finanzen und Ökonometrie, Fachbereich Wirtschaftswissenschaften
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Optimal Convergence Rates in Nonparametric Regression with Fractional Time Series Errors
Feng, Yuanhua
-
Zentrum für Finanzen und Ökonometrie, Fachbereich …
-
2002
Persistent link: https://www.econbiz.de/10005357901
Saved in:
2
Kernel Dependent Functions in Nonparametric Regression with Fractional Time Series Errors kernel dependent function, bandwidth selection.
Feng, Yuanhua
-
Zentrum für Finanzen und Ökonometrie, Fachbereich …
-
2003
Persistent link: https://www.econbiz.de/10005146725
Saved in:
3
On parameter estimation for locally stationary long-memory processes
Beran, Jan
-
Zentrum für Finanzen und Ökonometrie, Fachbereich …
-
2007
We consider parameter estimation for time-dependent locally stationary long-memory processes. The asymptotic distribution of an estimator based on the local infinite autoregressive representation is derived, and asymptotic formulas for the mean squared error of the estimator, and the...
Persistent link: https://www.econbiz.de/10005146736
Saved in:
4
Optimal Convergence Rates in Nonparametric Regression with Fractional Time Series Errors
Feng, Yuanhua
;
Beran, Jan
-
Zentrum für Finanzen und Ökonometrie, Fachbereich …
-
2007
Persistent link: https://www.econbiz.de/10005146754
Saved in:
5
Exploring local dependence
Abberger, Klaus
-
Zentrum für Finanzen und Ökonometrie, Fachbereich …
-
2002
variables. Often, scalar dependence measures, such as
correlation
, cannot reflect the complex dependence structure of two …
Persistent link: https://www.econbiz.de/10005562282
Saved in:
6
A simple graphical method to explore tail-dependence in stock-return pairs
Abberger, Klaus
-
Zentrum für Finanzen und Ökonometrie, Fachbereich …
-
2004
-Pearson
correlation
coefficient, but the dependence structure can also be analyzed locally. In this article the exploration of …
Persistent link: https://www.econbiz.de/10005178255
Saved in:
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