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Which ergodic averages have finite asymptotic variance?

Abstract:
We show that the class of L2 functions for which ergodic averages of a reversible Markov chain have finite asymptotic variance is determined by the class of L2 functions for which ergodic averages of its associated jump chain have finite asymptotic variance. This allows us to characterize completely which ergodic averages have finite asymptotic variance when the Markov chain is an independence sampler. From a practical perspective, the most important result identifies a simple sufficient condition for all ergodic averages of L2 functions of the primary variable in a pseudo-marginal Markov chain to have finite asymptotic variance.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1214/17-AAP1358

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Brasenose College
Role:
Author



Publisher:
Institute of Mathematical Statistics
Journal:
Annals of Applied Probability More from this journal
Volume:
28
Issue:
4
Pages:
2309-2334
Publication date:
2018-08-09
Acceptance date:
2017-09-27
DOI:
ISSN:
1050-5164


Keywords:
Pubs id:
pubs:844674
UUID:
uuid:5dadc546-389b-45f8-aab8-f1c31e993b2d
Local pid:
pubs:844674
Source identifiers:
844674
Deposit date:
2018-04-28

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