Pages that link to "Item:Q1380234"
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The following pages link to Geometric ergodicity and hybrid Markov chains (Q1380234):
Displaying 41 items.
- Markov-chain monte carlo: Some practical implications of theoretical results (Q4399495) (← links)
- On the geometric ergodicity of hybrid samplers (Q4408539) (← links)
- Efficiency and Convergence Properties of Slice Samplers (Q4416157) (← links)
- Conductance bounds on the <i>L</i><sup>2</sup> convergence rate of Metropolis algorithms on unbounded state spaces (Q4464174) (← links)
- Optimal Variance Reduction for Markov Chain Monte Carlo (Q4581261) (← links)
- Bayesian Static Parameter Estimation for Partially Observed Diffusions via Multilevel Monte Carlo (Q4610146) (← links)
- (Q4614120) (← links)
- Skip-free Markov chains (Q4633780) (← links)
- Simple conditions for metastability of continuous Markov chains (Q4964782) (← links)
- (Q4998875) (← links)
- (Q5011565) (← links)
- On some basic features of strictly stationary, reversible Markov chains (Q5012851) (← links)
- Approximations of geometrically ergodic reversible markov chains (Q5013245) (← links)
- MCMC Algorithms for Posteriors on Matrix Spaces (Q5057083) (← links)
- Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors (Q5066449) (← links)
- Geometric ergodicity of a more efficient conditional Metropolis-Hastings algorithm (Q5079080) (← links)
- Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo (Q5119642) (← links)
- (Q5159407) (← links)
- Knudsen Diffusivity in Random Billiards: Spectrum, Geometry, and Computation (Q5164897) (← links)
- Convergence of Conditional Metropolis-Hastings Samplers (Q5169501) (← links)
- (Q5176528) (← links)
- Asymptotic variance for random walk Metropolis chains in high dimensions: logarithmic growth via the Poisson equation (Q5203974) (← links)
- MCMC for Imbalanced Categorical Data (Q5242484) (← links)
- Computation of Expectations by Markov Chain Monte Carlo Methods (Q5256571) (← links)
- Nonasymptotic Bounds on the Mean Square Error for MCMC Estimates via Renewal Techniques (Q5326129) (← links)
- Continuous-time Random Walks for the Numerical Solution of Stochastic Differential Equations (Q5383902) (← links)
- Trace Class Markov Chains for Bayesian Inference with Generalized Double Pareto Shrinkage Priors (Q5738830) (← links)
- Stochastic Gradient Markov Chain Monte Carlo (Q5857155) (← links)
- Markov Kernels Local Aggregation for Noise Vanishing Distribution Sampling (Q5885821) (← links)
- A note on geometric ergodicity and floating-point roundoff error (Q5952078) (← links)
- Component-wise Markov chain Monte Carlo: uniform and geometric ergodicity under mixing and composition (Q5965030) (← links)
- A comparison theorem for data augmentation algorithms with applications (Q5965325) (← links)
- Non-reversible guided Metropolis kernel (Q6116753) (← links)
- A large deviation principle for the empirical measures of Metropolis-Hastings chains (Q6123273) (← links)
- Spectral telescope: convergence rate bounds for random-scan Gibbs samplers based on a hierarchical structure (Q6126804) (← links)
- Explicit bounds for spectral theory of geometrically ergodic Markov kernels and applications (Q6178577) (← links)
- Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain (Q6183871) (← links)
- Dimension-independent spectral gap of polar slice sampling (Q6190637) (← links)
- Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles (Q6616881) (← links)
- Analysis of two-component Gibbs samplers using the theory of two projections (Q6620069) (← links)
- Approximating the spectral gap of the Pólya-Gamma Gibbs sampler (Q6620480) (← links)
