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(2018) Posterior Consistency For GP Approximations by jorjinor1001 is a document available to read on EtoBox.

What is (2018) Posterior Consistency For GP Approximations about?

This document discusses the use of Gaussian process emulators to approximate Bayesian posterior distributions in inverse problems, proving error bounds on the Hellinger distance between true and approximated posteriors. The authors analyze different approximations using Gaussian processes, showing that the error can be bounded by the emulator

Author

jorjinor1001

Language

EN