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Oracle-free Boltzmann Sampling for Powersets

Peyen, Jean
arXiv (All) · Papers
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combinatoricsdata-structures-and-algorithmsdiscrete-mathematicsprobability
We propose an approach for sampling powersets under the Boltzmann distribution in an oracle-free way, i.e. without numerically evaluating the associated generating function. Our approach relies on a Poissonised infinite occupancy model and thinning. It yields an explicit sampler for bounded counting
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