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On the limitations of single-step drift and minorization in Markov chain convergence analysis
Qian Qin
, James P. Hobert
Statistics (Twin Cities)
Research output
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Contribution to journal
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Article
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peer-review
17
Scopus citations
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Dive into the research topics of 'On the limitations of single-step drift and minorization in Markov chain convergence analysis'. Together they form a unique fingerprint.
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Keyphrases
Convergence Rate
100%
Markov Chain
100%
Convergence Analysis
100%
Minorization
100%
Drift Condition
50%
Minorization Condition
50%
Optimal Bound
33%
High-dimensional Setting
16%
General State Space
16%
Applied Probability
16%
Metropolis-adjusted Langevin Algorithm
16%
Gaussian Autoregressive Processes
16%
Mathematics
Convergence Analysis
100%
Convergence Rate
100%
Markov Chain
100%
Autoregressive Model
16%
Gaussian Distribution
16%
Applied Probability
16%
Economics, Econometrics and Finance
Markov Chain
100%