Pages that link to "Item:Q2213361"
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The following pages link to Estimating marginal likelihoods from the posterior draws through a geometric identity (Q2213361):
Displaying 17 items.
- Recursive pathways to marginal likelihood estimation with prior-sensitivity analysis (Q252729) (← links)
- Marginal likelihood calculation for the Gelfand-Dey and Chib methods (Q433167) (← links)
- Pitfalls of estimating the marginal likelihood using the modified harmonic mean (Q500578) (← links)
- Improving power posterior estimation of statistical evidence (Q746315) (← links)
- Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling (Q1023812) (← links)
- On the use of marginal posteriors in marginal likelihood estimation via importance sampling (Q1623576) (← links)
- A new Monte Carlo method for estimating marginal likelihoods (Q1631546) (← links)
- A tutorial on bridge sampling (Q1690608) (← links)
- Estimating the marginal likelihood using the arithmetic mean identity (Q1699652) (← links)
- The marginal likelihood of dynamic mixture models (Q1927041) (← links)
- A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood (Q1927121) (← links)
- Inflated density ratio and its variation and generalization for computing marginal likelihoods (Q2131900) (← links)
- Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities (Q2172117) (← links)
- Methods for computing marginal data densities from the Gibbs output (Q2440391) (← links)
- Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques* (Q3156190) (← links)
- Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models (Q5219477) (← links)
- Computing Marginal Likelihoods via Posterior Sampling (Q5415865) (← links)
