most citedAdaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection

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

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023★ 1 cited

Structure Learning with Adaptive Random Neighborhood Informed MCMC

Alberto Caron, Xitong Liang, Samuel Livingstone +1

In this paper, we introduce a novel MCMC sampler, PARNI-DAG, for a fully-Bayesian approach to the problem of structure learning under observational data. Under the assumption of ca…