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most citedLower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances

2 citations · 3 across the 9 of their papers we have counts for

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math.ST2022★ 2 cited

Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances

Austin Brown, Galin L. Jones

To avoid poor empirical performance in Metropolis-Hastings and other accept-reject-based algorithms practitioners often tune them by trial and error. Lower bounds on the convergenc…

math.ST2022

Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable regression

Austin Brown

Multivariate Bayesian error-in-variable (EIV) linear regression is considered to account for additional additive Gaussian error in the features and response. A 3-variable determini…