Testing Shape Restrictions of Discrete Distributions

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We study the question of testing properties (classes) of discrete distributions. Specifically, given sample access to an arbitrary distribution over [] and a property , the goal is to distinguish between ∈ and ℓ(, ) > . We develop a general algorithm for this question, which applies to a large range of “shape-constrained” properties,...More