Pages that link to "Item:Q661172"
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The following pages link to A spectral analytic comparison of trace-class data augmentation algorithms and their sandwich variants (Q661172):
Displaying 24 items.
- Analysis of MCMC algorithms for Bayesian linear regression with Laplace errors (Q391581) (← links)
- Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression (Q450861) (← links)
- Spectral properties of MCMC algorithms for Bayesian linear regression with generalized hyperbolic errors (Q464471) (← links)
- Spectral analytic comparisons for data augmentation (Q654482) (← links)
- Improving efficiency of data augmentation algorithms using Peskun's theorem (Q736654) (← links)
- Convergence analysis of the Gibbs sampler for Bayesian general linear mixed models with improper priors (Q741808) (← links)
- Efficient Bayesian estimation of the multivariate double chain Markov model (Q892425) (← links)
- Sandwich algorithms for Bayesian variable selection (Q1623728) (← links)
- Trace class Markov chains for the normal-gamma Bayesian shrinkage model (Q1711607) (← 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)
- Convergence rates for MCMC algorithms for a robust Bayesian binary regression model (Q1950912) (← links)
- Estimating the spectral gap of a trace-class Markov operator (Q2002572) (← links)
- A hybrid scan Gibbs sampler for Bayesian models with latent variables (Q2075694) (← links)
- Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC (Q2112832) (← links)
- Consistent estimation of the spectrum of trace class data augmentation algorithms (Q2325394) (← links)
- Geometric ergodicity of Gibbs samplers for Bayesian general linear mixed models with proper priors (Q2341879) (← links)
- Geometric ergodicity of the Gibbs sampler for the Poisson change-point model (Q2453994) (← links)
- Convergence properties of data augmentation algorithms for high-dimensional robit regression (Q2683183) (← links)
- Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods (Q3391194) (← links)
- Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors (Q5066449) (← links)
- Trace Class Markov Chains for Bayesian Inference with Generalized Double Pareto Shrinkage Priors (Q5738830) (← links)
- A comparison theorem for data augmentation algorithms with applications (Q5965325) (← links)
- Discussion (Q6064663) (← links)
