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  • Search: subject:"Markov processes estimation"
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Year of publication
Subject
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GAS 3 Markov processes estimation 3 asymptotic normality 3 consistency 3 invertibility 3 score driven models 3 stationarity 3 time-varying parameter models 3 Estimation theory 1 Markov chain 1 Markov-Kette 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Schätztheorie 1 Stochastic process 1 Stochastischer Prozess 1 Time series analysis 1 Zeitreihenanalyse 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2 Undetermined 1
Author
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Blasques, Francisco 3 Koopman, Siem Jan 3 Lucas, Andre 2 Lucas, André 1
Institution
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Tinbergen Instituut 1
Published in...
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Discussion paper / Tinbergen Institute 1 Tinbergen Institute Discussion Paper 1 Tinbergen Institute Discussion Papers 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
Cover Image
Maximum Likelihood Estimation for Generalized Autoregressive Score Models
Blasques, Francisco; Koopman, Siem Jan; Lucas, Andre - 2014
We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series models driven by the score function of the predictive likelihood. This class of nonlinear dynamic models includes both new and existing observation driven time series models....
Persistent link: https://www.econbiz.de/10010377233
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Cover Image
Maximum Likelihood Estimation for Generalized Autoregressive Score Models
Blasques, Francisco; Koopman, Siem Jan; Lucas, Andre - Tinbergen Instituut - 2014
We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series models driven by the score function of the predictive likelihood. This class of nonlinear dynamic models includes both new and existing observation driven time series models....
Persistent link: https://www.econbiz.de/10011256845
Saved in:
Cover Image
Maximum likelihood estimation for generalized autoregressive score models
Blasques, Francisco; Koopman, Siem Jan; Lucas, André - 2014
We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series models driven by the score function of the predictive likelihood. This class of nonlinear dynamic models includes both new and existing observation driven time series models....
Persistent link: https://www.econbiz.de/10010250505
Saved in:
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