Random forward models and log-likelihoods in Bayesian inverse problems

15 December 2017

Papers citing "Random forward models and log-likelihoods in Bayesian inverse problems"

5 / 5 papers shown

Title
Gaussian processes for Bayesian inverse problems associated with linear partial differential equations Tianming Bai A. Teckentrup K. Zygalakis 32 8 0 17 Jul 2023
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures T. Helin Andrew M. Stuart A. Teckentrup K. Zygalakis 34 4 0 09 Feb 2023
Bayesian equation selection on sparse data for discovery of stochastic dynamical systems Kushagra Gupta Dootika Vats Snigdhansu Chatterjee 13 3 0 12 Jan 2021
A Role for Symmetry in the Bayesian Solution of Differential Equations Junyang Wang Jon Cockayne Chris J. Oates 18 7 0 24 Jun 2019
Well-posed Bayesian Inverse Problems with Infinitely-Divisible and Heavy-Tailed Prior Measures Bamdad Hosseini 43 34 0 23 Sep 2016