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  • Search: subject:"dynamic latent variable model"
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Year of publication
Subject
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Monte Carlo 3 dynamic latent variable model 2 importance sampling 2 marginalized likelihood 2 mixture 2 realized volatility 2 stochastic volatility 2 Data augmentation 1 Dynamic latent variable model 1 Importance sampling 1 Marginalized likelihood 1 Mixture 1 Realized volatility 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Working Paper 1
Language
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English 2 Undetermined 1
Author
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Kleppe, Tore Selland 3 Liesenfeld, Roman 3
Institution
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Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 1
Published in...
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Computational Statistics & Data Analysis 1 Economics Working Paper 1 Economics Working Papers / Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
Cover Image
Efficient high-dimensional importance sampling in mixture frameworks
Kleppe, Tore Selland; Liesenfeld, Roman - 2011
This paper provides high-dimensional and flexible importance sampling procedures for the likelihood evaluation of dynamic latent variable models involving finite or infinite mixtures leading to possibly heavy tailed and/or multi-modal target densities. Our approach is based upon the efficient...
Persistent link: https://www.econbiz.de/10010307607
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Cover Image
Efficient high-dimensional importance sampling in mixture frameworks
Kleppe, Tore Selland; Liesenfeld, Roman - Institut für Volkswirtschaftslehre, … - 2011
This paper provides high-dimensional and flexible importance sampling procedures for the likelihood evaluation of dynamic latent variable models involving finite or infinite mixtures leading to possibly heavy tailed and/or multi-modal target densities. Our approach is based upon the efficient...
Persistent link: https://www.econbiz.de/10009385866
Saved in:
Cover Image
Efficient importance sampling in mixture frameworks
Kleppe, Tore Selland; Liesenfeld, Roman - In: Computational Statistics & Data Analysis 76 (2014) C, pp. 449-463
A flexible importance sampling procedure for the likelihood evaluation of dynamic latent variable models involving mixtures of distributions leading to possibly heavy tailed or multi-modal target densities is provided. The procedure is based upon the efficient importance sampling (EIS) approach...
Persistent link: https://www.econbiz.de/10010776997
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