Artikel
Bayesian model averaging with the integrated nested laplace approximation
The integrated nested Laplace approximation (INLA) for Bayesian inference is an efficient approach to estimate the posterior marginal distributions of the parameters and latent effects of Bayesian hierarchical models that can be expressed as latent Gaussian Markov random fields (GMRF). The representation as a GMRF allows the associated software R-INLA to estimate the posterior marginals in a fraction of the time as typical Markov chain Monte Carlo algorithms. INLA can be extended by means of Bayesian model averaging (BMA) to increase the number of models that it can fit to conditional latent GMRF. In this paper, we review the use of BMA with INLA and propose a new example on spatial econometrics models.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 8 ; Year: 2020 ; Issue: 2 ; Pages: 1-15 ; Basel: MDPI
- Classification
-
Wirtschaft
- Subject
-
Bayesian model averaging
INLA
spatial econometrics
- Event
-
Geistige Schöpfung
- (who)
-
Gómez-Rubio, Virgilio
Bivand, Roger
Rue, Håvard
- Event
-
Veröffentlichung
- (who)
-
MDPI
- (where)
-
Basel
- (when)
-
2020
- DOI
-
doi:10.3390/econometrics8020023
- Handle
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Gómez-Rubio, Virgilio
- Bivand, Roger
- Rue, Håvard
- MDPI
Time of origin
- 2020
Other Objects (12)
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems
Optimal designs for model averaging in non-nested models
Optimal designs for model averaging in non-nested models
Sovereign risk indices and Bayesian theory averaging
Asymptotische Approximation von Laplace-Integralen
Bayesian model averaging using power-expected-posterior priors
Bayesian model weighting : the many faces of model averaging
Forecasting in large macroeconomic panels using Bayesian model averaging
Bayesian model averaging and prior sensitivity in stochastic frontier analysis
Regional income convergence in Europe: a Bayesian model averaging perspective
Which Factors Capitalize into House Prices? A Bayesian Averaging Approach
Forecasting natural gas consumption in China by Bayesian Model Averaging
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems
Optimal designs for model averaging in non-nested models
Optimal designs for model averaging in non-nested models
Sovereign risk indices and Bayesian theory averaging
Asymptotische Approximation von Laplace-Integralen
Bayesian model averaging using power-expected-posterior priors
Bayesian model weighting : the many faces of model averaging
Forecasting in large macroeconomic panels using Bayesian model averaging
Bayesian model averaging and prior sensitivity in stochastic frontier analysis
Regional income convergence in Europe: a Bayesian model averaging perspective
Which Factors Capitalize into House Prices? A Bayesian Averaging Approach
Forecasting natural gas consumption in China by Bayesian Model Averaging
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems
Optimal designs for model averaging in non-nested models
Optimal designs for model averaging in non-nested models
Sovereign risk indices and Bayesian theory averaging
Asymptotische Approximation von Laplace-Integralen
Bayesian model averaging using power-expected-posterior priors
Bayesian model weighting : the many faces of model averaging
Forecasting in large macroeconomic panels using Bayesian model averaging
Bayesian model averaging and prior sensitivity in stochastic frontier analysis
Regional income convergence in Europe: a Bayesian model averaging perspective
Which Factors Capitalize into House Prices? A Bayesian Averaging Approach