Pages that link to "Item:Q1906183"
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The following pages link to Rates of convergence for Gibbs sampling for variance component models (Q1906183):
Displaying 32 items.
- Convergence rate and concentration inequalities for Gibbs sampling in high dimension (Q470046) (← links)
- Rigorous confidence bounds for MCMC under a geometric drift condition (Q617654) (← links)
- Convergence rate of Gibbs sampler and its application (Q880862) (← links)
- Conditions for rapid mixing of parallel and simulated tempering on multimodal distributions (Q1024896) (← links)
- Geometric ergodicity of Gibbs and block Gibbs samplers for a hierarchical random effects model (Q1275427) (← links)
- Rates of convergence for data augmentation on finite sample spaces (Q1308704) (← links)
- Hypergroup deformations and Markov chains (Q1337951) (← links)
- Statistical inference and Monte Carlo algorithms. (With discussion) (Q1372568) (← links)
- Reversible algorithm of simulating multivariate densities with multi-hump (Q1609649) (← links)
- Rate of convergence of the Gibbs sampler in the Gaussian case (Q1863202) (← links)
- Applications of geometric bounds to the convergence rate of Markov chains on \(\mathbb R^ {n}\). (Q1877387) (← links)
- Sufficient burn-in for Gibbs samplers for a hierarchical random effects model. (Q1879955) (← links)
- Markov chain convergence: From finite to infinite (Q1915845) (← links)
- Gibbs sampling for a Bayesian hierarchical general linear model (Q1952054) (← links)
- On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models (Q2065471) (← links)
- Dimension free convergence rates for Gibbs samplers for Bayesian linear mixed models (Q2132527) (← links)
- Convergence rates of symmetric scan Gibbs sampler (Q2279101) (← links)
- Gibbs sampling, conjugate priors and coupling (Q2431014) (← links)
- Nonasymptotic bounds on the estimation error of MCMC algorithms (Q2435233) (← links)
- Stability of the Gibbs sampler for Bayesian hierarchical models (Q2477054) (← links)
- Geometric ergodicity of the bouncy particle sampler (Q2657933) (← links)
- Bounding the convergence time of the Gibbs sampler in Bayesian image restoration (Q2739328) (← links)
- Should we use ASIS? (Q2924597) (← links)
- Complexity bounds for Markov chain Monte Carlo algorithms via diffusion limits (Q3188572) (← links)
- (Q4322327) (← links)
- Possible biases induced by mcmc convergence diagnostics (Q4719464) (← links)
- On the performance of the gibbs sampler for the multivariate normal distribution (Q4843927) (← links)
- Perfect Forward Simulation via Simulated Tempering (Q5481741) (← links)
- Rates of convergence for Gibbs sampling in the analysis of almost exchangeable data (Q6056577) (← links)
- Reflections on Bayesian inference and Markov chain Monte Carlo (Q6059418) (← links)
- Complexity results for MCMC derived from quantitative bounds (Q6104001) (← links)
- A Bayesian non-parametric approach for automatic clustering with feature weighting (Q6541606) (← links)