Local consistency of Markov chain Monte Carlo methods
From MaRDI portal
Publication:2434135
DOI10.1007/s10463-013-0403-3zbMath1281.62122arXiv1012.0996OpenAlexW3101785660MaRDI QIDQ2434135
Publication date: 17 February 2014
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1012.0996
Order statistics; empirical distribution functions (62G30) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40) Statistical distribution theory (62E99)
Related Items
Efficient strategy for the Markov chain Monte Carlo in high-dimension with heavy-tailed target probability distribution ⋮ Random walk Metropolis algorithm in high dimension with non-Gaussian target distributions
Cites Work
- Unnamed Item
- Unnamed Item
- Markov chains and stochastic stability
- General state space Markov chains and MCMC algorithms
- Asymptotic properties of a stochastic EM algorithm for mixtures with censored data
- Asymptotic methods in statistical decision theory
- On the preservation of local asymptotic normality under information loss
- The stochastic EM algorithm: Estimation and asymptotic results
- Markov chains for exploring posterior distributions. (With discussion)
- On the computational complexity of MCMC-based estimators in large samples
- The Order of Degeneracy of Markov Chain Monte Carlo Method
- General Irreducible Markov Chains and Non-Negative Operators
- Seeking efficient data augmentation schemes via conditional and marginal augmentation
- Asymptotic Properties of Monte Carlo Strategies for a Cumulative Link Model
This page was built for publication: Local consistency of Markov chain Monte Carlo methods