Pages that link to "Item:Q5959768"
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The following pages link to Geometric ergodicity of Metropolis-Hastings algorithms for conditional simulation in generalized linear mixed models (Q5959768):
Displaying 13 items.
- Information-geometric Markov chain Monte Carlo methods using diffusions (Q296467) (← links)
- Markov chain Monte Carlo: can we trust the third significant figure? (Q900463) (← links)
- \(V\)-subgeometric ergodicity for a Hastings-Metropolis algorithm (Q1587711) (← links)
- Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models (Q3078941) (← links)
- Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms (Q3837340) (← links)
- (Q4453273) (← links)
- On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling (Q4566663) (← links)
- A non-stationary spatial generalized linear mixed model approach for studying plant diversity (Q5124878) (← links)
- On the geometric ergodicity of Metropolis-Hastings algorithms (Q5429699) (← links)
- Geometric Ergodicity of van Dyk and Meng's Algorithm for the Multivariate Student's<i>t</i>Model (Q5474420) (← links)
- Component-wise Markov chain Monte Carlo: uniform and geometric ergodicity under mixing and composition (Q5965030) (← links)
- Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs (Q6094078) (← links)
- Assessing minimum contrast parameter estimation for spatial and spatiotemporal log-Gaussian Cox processes (Q6552765) (← links)
