Pages that link to "Item:Q4314939"
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The following pages link to Importance-Weighted Marginal Bayesian Posterior Density Estimation (Q4314939):
Displaying 29 items.
- Default Bayes factors for ANOVA designs (Q96695) (← links)
- Bayesian model diagnostics using functional Bregman divergence (Q392102) (← links)
- Reuse, recycle, reweigh: combating influenza through efficient sequential Bayesian computation for massive data (Q542932) (← links)
- Stochastic image denoising based on Markov-chain Monte Carlo sampling (Q553793) (← links)
- Using MCMC chain outputs to efficiently estimate Bayes factors (Q645491) (← links)
- Bayesian inference for the proportion of true null hypotheses using minimum Hellinger distance (Q665031) (← links)
- A review of Markov chain Monte Carlo and information theory tools for inverse problems in subsurface flow (Q695718) (← links)
- Estimation of posterior density functions from a posterior sample. (Q1285505) (← links)
- On Monte Carlo methods for estimating ratios of normalizing constants (Q1372847) (← links)
- Performance study of marginal posterior density estimation via Kullback-Leibler divergence (Q1382945) (← links)
- On the use of marginal posteriors in marginal likelihood estimation via importance sampling (Q1623576) (← links)
- Model uncertainty (Q1766316) (← links)
- Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration (Q1867740) (← links)
- Variable selection for multivariate logistic regression models (Q1869079) (← links)
- Prior elicitation for model selection and estimation in generalized linear mixed models (Q1869080) (← links)
- Estimating Bayesian credible intervals (Q1869104) (← links)
- Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling (Q2106964) (← links)
- Inflated density ratio and its variation and generalization for computing marginal likelihoods (Q2131900) (← links)
- A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models (Q2178162) (← links)
- Integrated likelihood computation methods (Q2358920) (← links)
- Bayesian analysis of structural correlated unobserved components and identification via heteroskedasticity (Q2700547) (← links)
- Identification of Differentially Expressed Genes in High-Density Oligonucleotide Arrays Accounting for the Quantification Limits of the Technology (Q3079148) (← links)
- Partition Weighted Approach For Estimating the Marginal Posterior Density With Applications (Q3391240) (← links)
- Bayesian variable selection for proportional hazards models (Q4488787) (← links)
- Scalable Hyperparameter Selection for Latent Dirichlet Allocation (Q5066757) (← links)
- Bayesian influence diagnostics using normalized functional Bregman divergence (Q5079887) (← links)
- Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review (Q5883296) (← links)
- Model determination for the variance component model using reference priors (Q5956234) (← links)
- Scalable empirical Bayes inference and Bayesian sensitivity analysis (Q6649134) (← links)
