Pages that link to "Item:Q1593619"
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The following pages link to Bounds on regeneration times and convergence rates for Markov chains (Q1593619):
Displaying 45 items.
- Retracted: Fixed point theorems and explicit estimates for convergence rates of continuous time Markov chains (Q288125) (← links)
- Polynomial bounds in the Ergodic theorem for one-dimensional diffusions and integrability of hitting times (Q537130) (← links)
- Uniform accuracy of the maximum likelihood estimates for probabilistic models of biological sequences (Q631478) (← links)
- Bounds on regeneration times and limit theorems for subgeometric Markov chains (Q731664) (← links)
- Comment: ``Gibbs sampling, exponential families, and orthogonal polynomials'' (Q900454) (← links)
- Harris recurrence of Metropolis-within-Gibbs and trans-dimensional Markov chains (Q997421) (← links)
- Honest exploration of intractable probability distributions via Markov chain Monte Carlo. (Q1431211) (← links)
- On the use of Lyapunov methods in renewal theory (Q1593592) (← links)
- Geometric ergodicity of Metropolis algorithms (Q1613599) (← links)
- One-shot coupling for certain stochastic recursive sequences. (Q1766079) (← links)
- Quantitative bounds on convergence of time-inhomogeneous Markov chains (Q1769405) (← links)
- Renewal theory and computable convergence rates for geometrically erdgodic Markov chains (Q1774194) (← links)
- Perfect sampling of ergodic Harris chains (Q1872460) (← links)
- Corrigendum to ``Bounds on regeneration times and convergence rates for Markov chains'' (Q1879518) (← links)
- A mixture representation of \(\pi\) with applications in Markov chain Monte Carlo and perfect sampling. (Q1879910) (← links)
- Sufficient burn-in for Gibbs samplers for a hierarchical random effects model. (Q1879955) (← links)
- Wasserstein-based methods for convergence complexity analysis of MCMC with applications (Q2117437) (← links)
- Optimal scaling of random-walk Metropolis algorithms on general target distributions (Q2196541) (← links)
- On the limitations of single-step drift and minorization in Markov chain convergence analysis (Q2240862) (← links)
- Uniform ergodicity and strong stability estimates of homogeneous Markov chains (Q2256036) (← links)
- Hitting time and convergence rate bounds for symmetric Langevin diffusions (Q2283681) (← links)
- Convergence complexity analysis of Albert and Chib's algorithm for Bayesian probit regression (Q2313288) (← links)
- Stationary distributions and convergence for Walsh diffusions (Q2325330) (← links)
- Consistency of the maximum likelihood estimator for general hidden Markov models (Q2429938) (← links)
- Approximating Markov chains and \(V\)-geometric ergodicity via weak perturbation theory (Q2434495) (← links)
- Nonasymptotic bounds on the estimation error of MCMC algorithms (Q2435233) (← links)
- When is a Markov chain regenerative? (Q2444371) (← links)
- Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise. (Q2574509) (← links)
- Convergence rates and moments of Markov chains associated with the mean of Dirichlet processes. (Q2574512) (← links)
- Polynomial ergodicity of Markov transition kernels. (Q2574534) (← links)
- SMALL AND PSEUDO-SMALL SETS FOR MARKOV CHAINS (Q2746230) (← links)
- Spectral Analysis of Markov Kernels and Application to the Convergence Rate Of Discrete Random Walks (Q2939265) (← links)
- Explicit Rates of Exponential Convergence for Reflected Jump-Diffusions on the Half-Line (Q2954459) (← links)
- The polar slice sampler (Q3147438) (← links)
- Using a Markov Chain to Construct a Tractable Approximation of an Intractable Probability Distribution (Q3411057) (← links)
- Regenerative Analysis and Steady State Distributions for Markov Chains (Q3696262) (← links)
- Conductance bounds on the <i>L</i><sup>2</sup> convergence rate of Metropolis algorithms on unbounded state spaces (Q4464174) (← links)
- Estimation Methods for Delays in Non-regenerative Discrete-Event Systems (Q4798098) (← links)
- Exponential convergence rate of ruin probabilities for level-dependent Lévy-driven risk processes (Q5205954) (← links)
- Coupling and Ergodicity of Adaptive Markov Chain Monte Carlo Algorithms (Q5443744) (← links)
- Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis adjusted Langevin algorithm (Q5963544) (← links)
- Reflections on Bayesian inference and Markov chain Monte Carlo (Q6059418) (← links)
- Complexity results for MCMC derived from quantitative bounds (Q6104001) (← links)
- Perturbation bounds and convergence rates for uniformly ergodic Markov chains (Q6624064) (← links)
- Convergence rates of Metropolis-Hastings algorithms (Q6642757) (← links)
