58 citations · 198 across the 19 of their papers we have counts for
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stat.AP2018★ 13 cited
Removing the influence of a group variable in high-dimensional predictive modelling
Emanuele Aliverti, Kristian Lum, James E. Johndrow +1
In many application areas, predictive models are used to support or make important decisions. There is increasing awareness that these models may contain spurious or otherwise unde…
math.PR2018★ 1 cited
Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors
Bamdad Hosseini, James E Johndrow
We study a class of Metropolis-Hastings algorithms for target measures that are absolutely continuous with respect to a large class of non-Gaussian prior measures on Banach spaces.…
math.PR2018
Fast Mixing of Metropolis-Hastings with Unimodal Targets
James E. Johndrow, Aaron Smith
A well-known folklore result in the MCMC community is that the Metropolis-Hastings algorithm mixes quickly for any unimodal target, as long as the tails are not too heavy. Although…