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pro vyhledávání: '"Warren, andrew"'
Autor:
Guan, Vincent, Janssen, Joseph, Rahmani, Hossein, Warren, Andrew, Zhang, Stephen, Robeva, Elina, Schiebinger, Geoffrey
Stochastic differential equations (SDEs) are a fundamental tool for modelling dynamic processes, including gene regulatory networks (GRNs), contaminant transport, financial markets, and image generation. However, learning the underlying SDE from obse
Externí odkaz:
http://arxiv.org/abs/2410.22729
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 S.
Research in comparative microbial genomics has largely been organized around the concept of reference genomes. Reference genomes provide a useful comparative touchstone for closely related organisms. However, they do not necessarily represent the bio
Externí odkaz:
http://hdl.handle.net/10919/86660
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