61 citations · 294 across the 31 of their papers we have counts for
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stat.ME2022
Statistical exploration of the Manifold Hypothesis
Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
The Manifold Hypothesis is a widely accepted tenet of Machine Learning which asserts that nominally high-dimensional data are in fact concentrated near a low-dimensional manifold,…
stat.ME2022★ 1 cited
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
Michael Whitehouse, Nick Whiteley, Lorenzo Rimella
Addressing the challenge of scaling-up epidemiological inference to complex and heterogeneous models, we introduce Poisson Approximate Likelihood (PAL) methods. In contrast to the…