Error bounds for some approximate posterior measures in Bayesian inference

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 cost of doing so. This problem motivates the use of approximate posteriors that arise from approximating the data misfi...

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Veröffentlicht in:	arXiv.org 2020-04
Hauptverfasser:	Han Cheng Lie, Sullivan, T J, Teckentrup, Aretha
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Computer Science - Numerical Analysis Error analysis Inverse problems Mathematics - Numerical Analysis Mathematics - Statistics Theory Statistical inference Statistics - Theory
Online-Zugang:	Volltext
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