Approximate Bayesian inference based on INLA algorithm
The integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods. This paper reviews INLA algorithm and provides a systematic review of six...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Taylor & Francis Group
2026-01-01
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| Seria: | Statistical Theory and Related Fields |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.tandfonline.com/doi/10.1080/24754269.2025.2588859 |
| Etykiety: |
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