Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems

22 July 2015

Papers citing "Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems"

8 / 8 papers shown

Title
Warped geometric information on the optimisation of Euclidean functions M. Hartmann Bernardo Williams Hanlin Yu Mark Girolami Alessandro Barp Arto Klami 21 2 0 16 Aug 2023
Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations Zhao-Xia Li Shih-Feng Yang Jeff Wu 11 2 0 22 Dec 2022
Second Order Ensemble Langevin Method for Sampling and Inverse Problems Ziming Liu Andrew M. Stuart Yixuan Wang 19 6 0 09 Aug 2022
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success R. Scalzo D. Kohn H. Olierook G. Houseman Rohitash Chandra Mark Girolami Sally Cripps 11 32 0 02 Dec 2018
Adaptive Dimension Reduction to Accelerate Infinite-Dimensional Geometric Markov Chain Monte Carlo Shiwei Lan 19 10 0 15 Jul 2018
Geometric MCMC for Infinite-Dimensional Inverse Problems A. Beskos Mark Girolami Shiwei Lan P. Farrell Andrew M. Stuart 13 137 0 20 Jun 2016
Probabilistic Integration: A Role in Statistical Computation? François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne Dino Sejdinovic 19 50 0 03 Dec 2015
MCMC using Hamiltonian dynamics Radford M. Neal 164 3,260 0 09 Jun 2012