18 citations · 80 across the 22 of their papers we have counts for
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math.ST2019★ 2 cited
Error bounds for some approximate posterior measures in Bayesian inference
Han Cheng Lie, T. J. Sullivan, Aretha Teckentrup
In certain applications involving the solution of a Bayesian inverse problem, it may not be possible or desirable to evaluate the full posterior, e.g. due to the high computational…
stat.CO2019
A Locally Adaptive Bayesian Cubature Method
Matthew A Fisher, Chris J Oates, Catherine Powell +1
Bayesian cubature (BC) is a popular inferential perspective on the cubature of expensive integrands, wherein the integrand is emulated using a stochastic process model. Several app…
math.NA2019
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems
Aretha L Teckentrup
This work is concerned with the convergence of Gaussian process regression. A particular focus is on hierarchical Gaussian process regression, where hyper-parameters appearing in t…