Normalising flows can evaluate Bayesian partition functions, entropies, and lower-order moments of non-Gaussian posteriors, but the proposed derivative-based flow expansion fails for skewness and kurtosis.
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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology
Normalising flows can evaluate Bayesian partition functions, entropies, and lower-order moments of non-Gaussian posteriors, but the proposed derivative-based flow expansion fails for skewness and kurtosis.