Pages that link to "Item:Q3415978"

The following pages link to Improving Stochastic Relaxation for Gussian Random Fields (Q3415978):

Displaying 16 items.

• Zero variance Markov chain Monte Carlo for Bayesian estimators (Q91280) (← links)
• Asymptotic behavior of eigenvalues and random updating schemes (Q688863) (← links)
• Zero variance differential geometric Markov chain Monte Carlo algorithms (Q899008) (← links)
• Rates of convergence of some multivariate Markov chains with polynomial eigenfunctions (Q1024904) (← links)
• On rates of convergence of stochastic relaxation for Gaussian and non- Gaussian distributions (Q1176292) (← links)
• Slice sampling. (With discussions and rejoinder) (Q1412362) (← links)
• Designing simple and efficient Markov chain Monte Carlo proposal kernels (Q1631594) (← links)
• Convex relaxation for IMSE optimal design in random-field models (Q1658175) (← links)
• Coordinate selection rules for Gibbs sampling (Q1814746) (← links)
• Antithetic coupling of two Gibbs sampler chains. (Q1848817) (← links)
• Convergence properties of the Gibbs sampler for perturbations of Gaussians (Q1922399) (← links)
• Variance reduction for Metropolis-Hastings samplers (Q2104009) (← links)
• Optimization of the antithetic Gibbs sampler for Gaussian Markov random fields (Q3297958) (← links)
• On the performance of the gibbs sampler for the multivariate normal distribution (Q4843927) (← links)
• High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm (Q5025734) (← links)
• General over-relaxation Markov chain Monte Carlo algorithms for Gaussian densities (Q5937057) (← links)