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pro vyhledávání: '"Warren, Andrew P."'
Ranking distributions according to a stochastic order has wide applications in diverse areas. Although stochastic dominance has received much attention, convex order, particularly in general dimensions, has yet to be investigated from a statistical p
Externí odkaz:
http://arxiv.org/abs/2406.02840
Autor:
Chen, Chen, Wang, Yunfan, Kaur, Gursharn, Adiga, Aniruddha, Espinoza, Baltazar, Venkatramanan, Srinivasan, Warren, Andrew, Lewis, Bryan, Crow, Justin, Singh, Rekha, Lorentz, Alexandra, Toney, Denise, Marathe, Madhav
The pandemic of COVID-19 has imposed tremendous pressure on public health systems and social economic ecosystems over the past years. To alleviate its social impact, it is important to proactively track the prevalence of COVID-19 within communities.
Externí odkaz:
http://arxiv.org/abs/2403.15291
Autor:
Warren, Andrew
We investigate the stability of the Wasserstein distance, a metric structure on the space of probability measures arising from the theory of optimal transport, under metric ultralimits. We first show that if $(X_{i},d_{i})_{i\in\mathbb{N}}$ is a sequ
Externí odkaz:
http://arxiv.org/abs/2303.04294
Autor:
Slepčev, Dejan, Warren, Andrew
The seminal result of Benamou and Brenier provides a characterization of the Wasserstein distance as the path of the minimal action in the space of probability measures, where paths are solutions of the continuity equation and the action is the kinet
Externí odkaz:
http://arxiv.org/abs/2209.08407
Autor:
Warren, Andrew
We introduce a test for the conditional independence of random variables $X$ and $Y$ given a random variable $Z$, specifically by sampling from the joint distribution $(X,Y,Z)$, binning the support of the distribution of $Z$, and conducting multiple
Externí odkaz:
http://arxiv.org/abs/2107.14184
Autor:
Warren, Andrew
We study fluctuations of ergodic averages generated by actions of amenable groups. In the setting of an abstract ergodic theorem for locally compact second countable amenable groups acting on uniformly convex Banach spaces, we deduce a highly uniform
Externí odkaz:
http://arxiv.org/abs/2107.02403
Autor:
Sambaturu, Prathyush, Gupta, Aparna, Davidson, Ian, Ravi, S. S., Vullikanti, Anil, Warren, Andrew
Improving the explainability of the results from machine learning methods has become an important research goal. Here, we study the problem of making clusters more interpretable by extending a recent approach of [Davidson et al., NeurIPS 2018] for co
Externí odkaz:
http://arxiv.org/abs/2002.02487
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Autor:
Warren, Andrew
We study fluctuations of ergodic averages generated by actions of amenable groups. In the setting of an abstract ergodic theorem for locally compact second countable amenable groups acting on uniformly convex Banach spaces, we deduce a highly uniform
Externí odkaz:
http://arxiv.org/abs/1901.08538
Akademický článek
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