DSA Research Group
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Sebastian J Vollmer
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Digital Health Management During and Beyond the COVID-19 Pandemic: Opportunities, Barriers, and Recommendations
A geotemporal survey of hospital bed saturation across England during the first wave of the COVID-19 Pandemic
Measuring sample quality with diffusions
Unbiased Monte Carlo: Posterior estimation for intractable/infinite-dimensional models
The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method
Multilevel Monte Carlo for Reliability Theory
An iterative technique for bounding derivatives of solutions of Stein equations
An iterative technique for bounding derivatives of solutions of Stein equations
Note on A. Barbour's paper on Stein's method for diffusion approximations
Consistency and fluctuations for stochastic gradient Langevin dynamics
Consistency and fluctuations for stochastic gradient Langevin dynamics
Exploration of the (non-)asymptotic bias and variance of stochastic gradient langevin dynamics
Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors
Efficient MCMC and Posterior Consistency for Bayesian Inverse Problems
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