Two-dimensional probabilistic inversion of plane-wave electromagnetic data: Methodology, model constraints and joint inversion with electrical resistivity data

@article{RosasCarbajal2014TwodimensionalPI,
  title={Two-dimensional probabilistic inversion of plane-wave electromagnetic data: Methodology, model constraints and joint inversion with electrical resistivity data},
  author={Marina Rosas‐Carbajal and Niklas Linde and Thomas Kalscheuer and Jasper A. Vrugt},
  journal={Geophysical Journal International},
  year={2014},
  volume={196},
  pages={1508-1524}
}
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, application of such methods to CPU-intensive forward models can be a daunting task, particularly if the parameter space is high dimensional. Here, we present a 2-D pixel-based MCMC inversion of plane-wave electromagnetic (EM) data. Using synthetic data, we investigate how model parameter uncertainty depends on model… 

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