Pages that link to "Item:Q1613599"

The following pages link to Geometric ergodicity of Metropolis algorithms (Q1613599):

Displaying 50 items.

• Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths (Q2228245) (← links)
• Estimating drift and minorization coefficients for Gibbs sampling algorithms (Q2239247) (← links)
• A Monte Carlo integration approach to estimating drift and minorization coefficients for Metropolis-Hastings samplers (Q2244839) (← links)
• On the stability of some controlled Markov chains and its applications to stochastic approximation with Markovian dynamic (Q2258523) (← links)
• User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient (Q2280028) (← links)
• Random walk Metropolis algorithm in high dimension with non-Gaussian target distributions (Q2289786) (← links)
• Non-asymptotic guarantees for sampling by stochastic gradient descent (Q2290072) (← links)
• On the geometric ergodicity of Hamiltonian Monte Carlo (Q2325354) (← links)
• Rademacher complexity for Markov chains: applications to kernel smoothing and Metropolis-Hastings (Q2325397) (← links)
• Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms (Q2341639) (← links)
• Batch means and spectral variance estimators in Markov chain Monte Carlo (Q2380096) (← links)
• The ODE method for stability of skip-free Markov chains with applications to MCMC (Q2426609) (← links)
• An adaptive version for the Metropolis adjusted Langevin algorithm with a truncated drift (Q2433262) (← links)
• Remarks on the speed of convergence of mixing coefficients and applications (Q2435775) (← links)
• A central limit theorem for adaptive and interacting Markov chains (Q2448700) (← links)
• Markovian stochastic approximation with expanding projections (Q2448703) (← links)
• Geometric ergodicity for Bayesian shrinkage models (Q2452109) (← links)
• Extremal indices, geometric ergodicity of Markov chains and MCMC (Q2463676) (← links)
• Nonparametric estimation of the stationary density and the transition density of a Markov chain (Q2469498) (← links)
• Polynomial ergodicity of Markov transition kernels. (Q2574534) (← links)
• A computational procedure for estimation of the mixing time of the random-scan Metropolis algorithm (Q2628881) (← links)
• Geometric ergodicity of the bouncy particle sampler (Q2657933) (← links)
• Exponential concentration inequalities for additive functionals of Markov chains (Q2786488) (← links)
• Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors (Q2945165) (← links)
• Hybrid Samplers for Ill-Posed Inverse Problems (Q3077776) (← links)
• Transport Map Accelerated Markov Chain Monte Carlo (Q3176240) (← links)
• Pathwise accuracy and ergodicity of metropolized integrators for SDEs (Q3550768) (← links)
• The Markov chain Monte Carlo revolution (Q3623558) (← links)
• Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms (Q3837340) (← links)
• On the geometric ergodicity of hybrid samplers (Q4408539) (← links)
• On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling (Q4566663) (← links)
• Comparison of hit-and-run, slice sampler and random walk Metropolis (Q4611278) (← links)
• Sequential Monte Carlo Samplers: Error Bounds and Insensitivity to Initial Conditions (Q4648510) (← links)
• Numerical integration using <i>V</i>-uniformly ergodic Markov chains (Q4660534) (← links)
• An Extension of the Metropolis Algorithm (Q4678836) (← links)
• Ergodicity of Markov chain Monte Carlo with reversible proposal (Q4684877) (← links)
• MCMC Algorithms for Posteriors on Matrix Spaces (Q5057083) (← links)
• Assessing and Visualizing Simultaneous Simulation Error (Q5066389) (← links)
• Approximate verification of geometric ergodicity for multiple-step Metropolis transition kernels (Q5074247) (← links)
• Convergence of Conditional Metropolis-Hastings Samplers (Q5169501) (← links)
• Asymptotic variance for random walk Metropolis chains in high dimensions: logarithmic growth via the Poisson equation (Q5203974) (← links)
• (Q5214293) (← 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)
• Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors (Q6104013) (← links)
• Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
• Speed up Zig-Zag (Q6138921) (← links)
• Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain (Q6183871) (← links)