Kernel estimators of asymptotic variance for adaptive Markov chain Monte Carlo
type: Item
instance of: scholarly article
title: Kernel estimators of asymptotic variance for adaptive Markov chain Monte Carlo
zbMATH Open document ID: 1219.62125
DOI: 10.1214/10-AOS828
author: Yves F. Atchadé
published in: The Annals of Statistics
publication date: 2011-06-29T00:00:00Z
full work available at URL: https://arxiv.org/abs/0911.1164
Mathematics Subject Classification ID: 62M05
Mathematics Subject Classification ID: 60J22
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 65C40
Mathematics Subject Classification ID: 60F05
zbMATH DE Number: 5914738
MaRDI profile type: Publication
arXiv ID: 0911.1164
cites work: Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
cites work: On the ergodicity properties of some adaptive MCMC algorithms
cites work: An adaptive version for the Metropolis adjusted Langevin algorithm with a truncated drift
cites work: Limit theorems for some adaptive MCMC algorithms with subgeometric kernels
cites work: On adaptive Markov chain Monte Carlo algorithms
cites work: Renewal theory and computable convergence rates for geometrically erdgodic Markov chains
cites work: Fractionally integrated generalized autoregressive conditional heteroskedasticity
cites work: Q3662646
cites work: Mean-Square Consistency of the Variance Estimator in Steady-State Simulation Output Analysis
cites work: A STRONG CONSISTENCY PROOF FOR HETEROSKEDASTICITY AND AUTOCORRELATION CONSISTENT COVARIANCE MATRIX ESTIMATORS
cites work: Consistency of Kernel Estimators of Heteroscedastic and Autocorrelated Covariance Matrices
cites work: Batch means and spectral variance estimators in Markov chain Monte Carlo
cites work: An adaptive Metropolis algorithm
cites work: Q3911791
cites work: Consistent Covariance Matrix Estimation for Dependent Heterogeneous Processes
cites work: Geometric ergodicity of Metropolis algorithms
cites work: ERGODICITY, MIXING, AND EXISTENCE OF MOMENTS OF A CLASS OF MARKOV MODELS WITH APPLICATIONS TO GARCH AND ACD MODELS
cites work: Markov chains and stochastic stability
cites work: Q4843404
cites work: Regeneration in Markov Chain Samplers
cites work: Automatic Lag Selection in Covariance Matrix Estimation
cites work: Q3323077
cites work: On the ergodicity of the adaptive Metropolis algorithm on unbounded domains
cites work: A limit theorem for quadratic forms and its applications
description: scientific article