Monotone additive statistics on heavy-tailed convolution semigroups

Tobias Fritz; Xiaosheng Mu; Omer Tamuz

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arXiv · 1912.01733

Monotone additive statistics on heavy-tailed convolution semigroups

Tobias Fritz·Xiaosheng Mu·Omer Tamuz

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Abstract

We study sub-semigroups of the semigroup of probability measures on $\mathbb{R}$ and monotone additive statistics on them, by which we mean maps to the reals that are monotone with respect to the stochastic order and additive under convolution. We show that scalar multiples of the expectation are the unique monotone additive statistics on the semigroup of measures with finite $p$-th moment, for any $1 \le p < \infty$. We also prove that the entire semigroup of probability measures admits no non-zero monotone additive statistic at all.

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Tobias Fritz, Xiaosheng Mu, Omer Tamuz. 2019-12-03. Monotone additive statistics on heavy-tailed convolution semigroups. https://arxiv.org/abs/1912.01733

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