Pages that link to "Item:Q1922397"
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The following pages link to On the convergence of the Markov chain simulation method (Q1922397):
Displaying 36 items.
- Improving the convergence of reversible samplers (Q330615) (← links)
- Parallel hierarchical sampling: a general-purpose interacting Markov chains Monte Carlo algorithm (Q434903) (← links)
- Simulating tail asymptotics of a Markov chain (Q553094) (← links)
- Accelerating diffusions (Q558681) (← links)
- A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data (Q635417) (← links)
- Computational approaches for empirical Bayes methods and Bayesian sensitivity analysis (Q661177) (← links)
- Parallel tempering with equi-energy moves (Q746282) (← links)
- Gibbs sampling, exponential families and orthogonal polynomials (Q900452) (← links)
- A conversation with Jayaram Sethuraman (Q900465) (← links)
- Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods (Q959355) (← links)
- Simulation from endpoint-conditioned, continuous-time Markov chains on a finite state space, with applications to molecular evolution (Q985037) (← links)
- Rates of convergence of some multivariate Markov chains with polynomial eigenfunctions (Q1024904) (← links)
- On the geometrical convergence of Gibbs sampler in \(\mathbb R^d\) (Q1268005) (← links)
- Hypergroup deformations and Markov chains (Q1337951) (← links)
- Rates of convergence for everywhere-positive Markov chains (Q1347202) (← links)
- Outperforming the Gibbs sampler empirical estimator for nearest-neighbor random fields (Q1354360) (← links)
- On confidence intervals from simulation of finite Markov chains (Q1374692) (← links)
- Jump-diffusion Markov processes on orthogonal groups for object pose estimation (Q1600709) (← links)
- A quasi-ergodic theorem for evanescent processes (Q1613660) (← links)
- Numerical simulation of polynomial-speed convergence phenomenon (Q1696954) (← links)
- Stochastic alternating projections (Q1928866) (← links)
- Convergence analysis of some multivariate Markov chains using stochastic monotonicity (Q1948704) (← links)
- Slow hit-and-run sampling (Q1975350) (← links)
- State-discretization of \(V\)-geometrically ergodic Markov chains and convergence to the stationary distribution (Q2218826) (← links)
- On the limitations of single-step drift and minorization in Markov chain convergence analysis (Q2240862) (← links)
- Dirichlet eigenvalue problems of irreversible Langevin diffusion (Q2244559) (← links)
- On the Markov chain Monte Carlo (MCMC) method (Q2371215) (← links)
- A self-adaptive migration model genetic algorithm for data mining applications (Q2385684) (← links)
- Wishart distributions for decomposable covariance graph models (Q2429939) (← links)
- Gibbs sampling, conjugate priors and coupling (Q2431014) (← links)
- Convergence analysis of Markov chain Monte Carlo linear solvers using Ulam-von Neumann algorithm (Q2855100) (← links)
- Studying Convergence of Markov Chain Monte Carlo Algorithms Using Coupled Sample Paths (Q3128655) (← links)
- Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modeling (Q3391266) (← links)
- (Q3608241) (← links)
- Slow convergence of the Gibbs sampler (Q4243790) (← links)
- Convergence of Griddy Gibbs sampling and other perturbed Markov chains (Q5106859) (← links)
