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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Projects
- 1 Active
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Large Sample Analysis of MCMC in Bayesian Statistics from a Frequentist Perspective
7/15/21 → 6/30/24
Project: Research project
Research output
- 9 Article
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Convergence rates of two-component MCMC samplers
Qin, Q. & Jones, G. L., May 2022, In: Bernoulli. 28, 2, p. 859-885 27 p.Research output: Contribution to journal › Article › peer-review
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Geometric convergence bounds for Markov chains in Wasserstein distance based on generalized drift and contraction conditions
Qin, Q. & Hobert, J. P., May 2022, In: Annales de l'institut Henri Poincare (B) Probability and Statistics. 58, 2, p. 872-889 18 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Markov Chain Monte Carlo in Practice
Jones, G. L. & Qin, Q., Mar 2022, In: Annual Review of Statistics and Its Application. 9, p. 557-578 22 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
WASSERSTEIN-BASED METHODS FOR CONVERGENCE COMPLEXITY ANALYSIS OF MCMC WITH APPLICATIONS
Qin, Q. & Hobert, J. P., Feb 2022, In: Annals of Applied Probability. 32, 1, p. 124-166 43 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
On the limitations of single-step drift and minorization in Markov chain convergence analysis
Qin, Q. & Hobert, J. P., Aug 2021, In: Annals of Applied Probability. 31, 4, p. 1633-1659 27 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations