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Laplace's approximation or the quadratic approximation (QUAP) provides an analytical expression for a posterior probability distribution by fitting a Gaussian distribution with a mean equal to the MAP solution and precision equal to the observed Fisher information. The approximation is justified by the Bernstein–von Mises theorem, which states that…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Laplace's approximation | related to Integrated nested Laplace approximation | Integrated | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | Laplace | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | INLA | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | Bayesian | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | Laplace's | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | It | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | Gaussian | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | LGMs | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | Markov | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | Monte Carlo | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | Due | 0.60 | section |
| Laplace's approximation | related to Integrated nested Laplace approximation | The INLA | 0.60 | section |
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