Motivated by Bayesian inference with highly informative data we analyze ...
For Bayesian learning, given likelihood function and Gaussian prior, the...
The linear conditional expectation (LCE) provides a best linear (or rath...
Convergence of an adaptive collocation method for the stationary paramet...
Doubly-intractable distributions appear naturally as posterior distribut...
For elliptic diffusion equations with random coefficient and source term...
In this note we consider the robustness of posterior measures occuring i...
We prove Wasserstein contraction of simple slice sampling for approximat...
The Bayesian approach to inverse problems provides a rigorous framework ...
A classical approach for approximating expectations of functions w.r.t.
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