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  • Search: subject:"Mean and variance estimation"
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Year of publication
Subject
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Bootstrap 1 Conditional mean and variance estimation 1 Discrete random variables 1 Filtered Historical Simulation 1 Functional Gradient Descent 1 Mean and variance estimation 1 Multivariate CCC-GARCH models 1 Nonparametric estimation 1 Term structure 1
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Online availability
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Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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English 1 Undetermined 1
Author
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Audrino, Francesco 1 Kisielinska, Joanna 1 Trojani, Fabio 1
Institution
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School of Economics and Political Science, Universität St. Gallen 1
Published in...
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Computational Statistics 1 University of St. Gallen Department of Economics working paper series 2007 1
Source
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RePEc 2
Showing 1 - 2 of 2
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The exact bootstrap method shown on the example of the mean and variance estimation
Kisielinska, Joanna - In: Computational Statistics 28 (2013) 3, pp. 1061-1077
The bootstrap method is based on resampling of the original randomsample drawn from a population with an unknown distribution. In the article it was shown that because of the progress in computer technology resampling is actually unnecessary if the sample size is not too large. It is possible to...
Persistent link: https://www.econbiz.de/10010847838
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Cover Image
Accurate Short-Term Yield Curve Forecasting using Functional Gradient Descent
Audrino, Francesco; Trojani, Fabio - School of Economics and Political Science, Universität … - 2007
We propose a multivariate nonparametric technique for generating reliable shortterm historical yield curve scenarios and confidence intervals. The approach is based on a Functional Gradient Descent (FGD) estimation of the conditional mean vector and covariance matrix of a multivariate interest...
Persistent link: https://www.econbiz.de/10005696741
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