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Year of publication
Subject
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Effective dimensions 1 Functional filters 1 Hilbert spaces 1 Large dimensions 1 Linear processes 1 Linear transformations 1 Lévy bases 1 Measurable linear transformations 1 Ornstein-Uhlenbeck type process 1 Path-generation techniques 1 Prediction 1 Quasi-Monte Carlo simulations 1 factor modelling 1 linear transformations 1 long memory 1 second order moment structure 1 stochastic volatility 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 2 English 1
Author
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Barndorff-Nielsen, Ole Eiler 1 Bosq, D. 1 Sabino, Piergiacomo 1 Stelzer, Robert 1
Institution
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School of Economics and Management, University of Aarhus 1
Published in...
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CREATES Research Papers 1 Computational Management Science 1 Journal of Multivariate Analysis 1
Source
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RePEc 3
Showing 1 - 3 of 3
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The multivariate supOU stochastic volatility model
Barndorff-Nielsen, Ole Eiler; Stelzer, Robert - School of Economics and Management, University of Aarhus - 2009
model as well as the simple Ornstein-Uhlenbeck type stochastic volatility model behave under linear transformations. In … particular, the models are shown to be preserved under invertible linear transformations. Finally, we discuss how (sup … particular, the models are shown to be preserved under invertible linear transformations. Finally, we discuss how (sup …
Persistent link: https://www.econbiz.de/10008566316
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Computing the best linear predictor in a Hilbert space. Applications to general ARMAH processes
Bosq, D. - In: Journal of Multivariate Analysis 124 (2014) C, pp. 436-450
This article deals with linear prediction in large dimensions. One obtains various explicit forms of the best linear predictor in a Hilbert space. The difficulty comes from the fact that the associated linear operator is, in general, not continuous. Applications to ARMAH processes, models with...
Persistent link: https://www.econbiz.de/10010737768
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Implementing quasi-Monte Carlo simulations with linear transformations
Sabino, Piergiacomo - In: Computational Management Science 8 (2011) 1, pp. 51-74
Persistent link: https://www.econbiz.de/10008925148
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