‪Austin Brown‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	6	6
h-index	2	2
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Co-authors

Galin JonesSchool of Statistics, University of MinnesotaVerified email at umn.edu
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoVerified email at math.toronto.edu

Austin Brown

Austin Brown

Postdoctoral Researcher, University of Toronto

Verified email at utoronto.ca - Homepage

Markov chain Monte Carlo Statistics Optimization Bayesian Statistics


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Exact convergence analysis for Metropolis–Hastings independence samplers in Wasserstein distances A Brown, GL Jones Journal of Applied Probability 61 (1), 33-54, 2024	4	2024
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances A Brown, GL Jones arXiv preprint arXiv:2212.05955, 2022	2	2022
Weak convergence of adaptive Markov chain Monte Carlo A Brown, JS Rosenthal arXiv preprint arXiv:2406.00820, 2024		2024
A non-asymptotic error analysis for parallel Monte Carlo estimation from many short Markov chains A Brown arXiv preprint arXiv:2401.17963, 2024		2024
Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable regression A Brown Electronic Journal of Statistics 18 (1), 1495-1516, 2024		2024
Bounding and estimating MCMC convergence rates using common random number simulations S Sixta, JS Rosenthal, A Brown arXiv preprint arXiv:2309.15735, 2023		2023
Some Convergence Results for Metropolis-Hastings Algorithms A Brown university of minnesota, 2022		2022

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