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  • Search: subject:"linear Gaussian state space models"
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Year of publication
Subject
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Bartlett adjustment 1 DSGE model 1 DSGE-Modell 1 Likelihood ratio test 1 Likelihood-free methods 1 Linear Gaussian state space models 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 State space model 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 Zustandsraummodell 1 asymptotic sufficiency 1 latent diffusion models 1 linear Gaussian state space models 1 stochastic volatility 1 unscented Kalman filter 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 1 Undetermined 1
Author
All
Komunjer, Ivana 1 Maneesoonthorn, Worapree 1 Martin, Gael M. 1 McCabe, Brendan P.M. 1 Robert, Christian P. 1 Zhu, Yinchu 1
Institution
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Department of Econometrics and Business Statistics, Monash Business School 1
Published in...
All
Journal of econometrics 1 Monash Econometrics and Business Statistics Working Papers 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Likelihood ratio testing in linear state space models : an application to dynamic stochastic general equilibrium models
Komunjer, Ivana; Zhu, Yinchu - In: Journal of econometrics 218 (2020) 2, pp. 561-586
Persistent link: https://www.econbiz.de/10012483171
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Cover Image
Approximate Bayesian Computation in State Space Models
Martin, Gael M.; McCabe, Brendan P.M.; Maneesoonthorn, … - Department of Econometrics and Business Statistics, … - 2014
A new approach to inference in state space models is proposed, based on approximate Bayesian computation (ABC). ABC avoids evaluation of the likelihood function by matching observed summary statistics with statistics computed from data simulated from the true process; exact inference being...
Persistent link: https://www.econbiz.de/10010958938
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