115 citations · 307 across the 11 of their papers we have counts for
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stat.CO2019
Markov chain Monte Carlo algorithms with sequential proposals
Joonha Park, Yves F. Atchadé
We explore a general framework in Markov chain Monte Carlo (MCMC) sampling where sequential proposals are tried as a candidate for the next state of the Markov chain. This sequenti…
stat.CO2019★ 1 cited
Approximate spectral gaps for Markov chains mixing times in high dimensions
Yves F. Atchadé
This paper introduces a concept of approximate spectral gap to analyze the mixing time of Markov Chain Monte Carlo (MCMC) algorithms for which the usual spectral gap is degenerate…
stat.ME2019★ 1 cited
Bayesian variable selection in linear regression models with instrumental variables
Gautam Sabnis, Yves Atchadé, Prosper Dovonon
Many papers on high-dimensional statistics have proposed methods for variable selection and inference in linear regression models by relying explicitly or implicitly on the assumpt…