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A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
Rough sleeping is a chronic problem faced by some of the most disadvantaged people in modern society. This paper describes work carried …
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Digital Health Management During and Beyond the COVID-19 Pandemic: Opportunities, Barriers, and Recommendations
During the coronavirus disease (COVID-19) crisis, digital technologies have become a major route for accessing remote care. Therefore, …
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Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
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A geotemporal survey of hospital bed saturation across England during the first wave of the COVID-19 Pandemic
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Diabetes and COVID-19 Related Mortality in the Critical Care Setting: A Real-Time National Cohort Study in England
Background: The importance of diabetes as a prognostic factor in people admitted to hospital critical care with COVID-19 is poorly …
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Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations
We develop a framework that allows the use of the multi-level Monte Carlo (MLMC) methodology (Giles in Acta Numer. 24: 259–328, …
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Measuring sample quality with diffusions
Project Euclid - mathematics and statistics online
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Design choices for productive, secure, data-intensive research at scale in the cloud
We present a policy and process framework for secure environments for productive data science research projects at scale, by combining …
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Unbiased Monte Carlo: Posterior estimation for intractable/infinite-dimensional models
Project Euclid - mathematics and statistics online
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The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method
ABSTRACTMany Markov chain Monte Carlo techniques currently available rely on discrete-time reversible Markov processes whose transition …
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