95 citations · 306 across the 6 of their papers we have counts for
4 papers · 1 filter
Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems with a Kalman-Inspired Proposal Distribution
Jiangjiang Zhang, Jasper A. Vrugt, Xiaoqing Shi +3
Bayesian analysis is widely used in science and engineering for real-time forecasting, decision making, and to help unravel the processes that explain the observed data. These data…
Two-dimensional probabilistic inversion of plane-wave electromagnetic data: Methodology, model constraints and joint inversion with electrical resistivity data
M. Rosas-Carbajal, N. Linde, T. Kalscheuer +1
Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet,…
Distributed soil moisture from crosshole ground-penetrating radar travel times using stochastic inversion
N. Linde, J. A. Vrugt
Geophysical methods offer several key advantages over conventional subsurface measurement approaches, yet their use for hydrologic interpretation is often problematic. Here, we int…
Summary statistics from training images as prior information in probabilistic inversion
T. Lochbühler, J. A. Vrugt, M. Sadegh +1
A strategy is presented to incorporate prior information from conceptual geological models in probabilistic inversion of geophysical data. The conceptual geological models are repr…