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Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy

ICML 2018 • Jiasen Yang • Qiang Liu • Vinayak Rao • Jennifer Neville

Recent work has combined Stein’s method with reproducing kernel Hilbert space theory to develop nonparametric goodness-of-fit tests for un-normalized probability distributions. However, the currently available tests apply exclusively to distributions with smooth density functions... (read more)

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Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy

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