Pages that link to "Item:Q4399495"

The following pages link to Markov-chain monte carlo: Some practical implications of theoretical results (Q4399495):

Displaying 47 items.

• Multiplicative random walk Metropolis-Hastings on the real line (Q356503) (← links)
• Identification of the 1PL model with guessing parameter: parametric and semi-parametric results (Q358516) (← links)
• Geometric ergodicity of the Bayesian Lasso (Q367204) (← links)
• Some things we've learned (about Markov chain Monte Carlo) (Q373528) (← links)
• Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression (Q450861) (← links)
• Over-relaxation methods and coupled Markov chains for Monte Carlo simulation (Q451225) (← links)
• The HESSIAN method: highly efficient simulation smoothing, in a nutshell (Q527930) (← links)
• Quantitative non-geometric convergence bounds for independence samplers (Q539523) (← links)
• Convergence analysis of the Gibbs sampler for Bayesian general linear mixed models with improper priors (Q741808) (← links)
• Scaling analysis of multiple-try MCMC methods (Q765876) (← links)
• Variance bounding Markov chains (Q930683) (← links)
• Putting Markov chains back into Markov chain Monte Carlo (Q933891) (← links)
• Adaptive independent Metropolis-Hastings (Q1009493) (← links)
• Geometric ergodicity of Gibbs and block Gibbs samplers for a hierarchical random effects model (Q1275427) (← links)
• Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms (Q1316598) (← links)
• Statistical inference and Monte Carlo algorithms. (With discussion) (Q1372568) (← links)
• An introduction to MCMC for machine learning (Q1395735) (← links)
• Honest exploration of intractable probability distributions via Markov chain Monte Carlo. (Q1431211) (← links)
• Bayesian computation and stochastic systems. With comments and reply. (Q1596098) (← links)
• A modified conditional Metropolis-Hastings sampler (Q1623632) (← links)
• Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors (Q1750005) (← links)
• Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects (Q1755112) (← links)
• A new strategy for speeding Markov chain Monte Carlo algorithms (Q1766991) (← links)
• Markov chains for exploring posterior distributions. (With discussion) (Q1896235) (← links)
• Goodness-of-fit inferences through posterior distribution explorations (Q1966011) (← links)
• A hybrid scan Gibbs sampler for Bayesian models with latent variables (Q2075694) (← links)
• On the Bayesian nonparametric generalization of IRT-type models (Q2275424) (← links)
• Convergence complexity analysis of Albert and Chib's algorithm for Bayesian probit regression (Q2313288) (← links)
• Geometric ergodicity of Gibbs samplers for Bayesian general linear mixed models with proper priors (Q2341879) (← links)
• Nonparametric estimation of the stationary density and the transition density of a Markov chain (Q2469498) (← links)
• Scaling analysis of delayed rejection MCMC methods (Q2513657) (← links)
• SMALL AND PSEUDO-SMALL SETS FOR MARKOV CHAINS (Q2746230) (← links)
• Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements (Q2752484) (← links)
• On the empirical efficiency of local MCMC algorithms with pools of proposals (Q2870715) (← links)
• Sampling unnormalized probabilities: an alternative to the Metropolis-Hastings algorithm (Q2874992) (← links)
• Application of HITS Algorithm in Web Mining in Literature Evaluation and Empirical Study (Q3102906) (← links)
• Markov Chain Monte Carlo Algorithms: Theory and Practice (Q3405431) (← links)
• Qualitative Robustness in Bayesian Inference (Q4578053) (← links)
• Particle Markov Chain Monte Carlo Methods (Q4632633) (← links)
• Note on the Sampling Distribution for the Metropolis-Hastings Algorithm (Q4801416) (← links)
• (Q5011565) (← links)
• Stochastic variable selection strategies for zero-inflated models (Q5142192) (← links)
• (Q5154471) (← links)
• Applicability of Subsampling Bootstrap Methods in Markov Chain Monte Carlo (Q5326116) (← links)
• On the geometric ergodicity of Metropolis-Hastings algorithms (Q5429699) (← links)
• Principal Applications of Bayesian Methods in Actuarial Science (Q5718233) (← links)
• Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain (Q6183871) (← links)