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Vincent Geels

1 paper hereh-index 13 citations1 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.ME1

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most citedThe Taxicab Sampler: MCMC for Discrete Spaces with Application to Tree Models

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

stat.ME2021★ 2 cited

The Taxicab Sampler: MCMC for Discrete Spaces with Application to Tree Models

Vincent Geels, Matthew Pratola, Radu Herbei

Motivated by the problem of exploring discrete but very complex state spaces in Bayesian models, we propose a novel Markov Chain Monte Carlo search algorithm: the taxicab sampler.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.