In this paper we consider large θ approximations for the stationary distribution of the neutral infinite alleles model as described by the the Poisson-Dirichlet distribution with parameter θ. We prove ...
We provide a general theorem bounding the error in the approximation of a random measure of interest—for example, the empirical population measure of types in a ...
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Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
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