This package uses a Bayesian formulation and Markov chain Monte Carlo sampling methods to derive posterior distributions of subsurface and measured data properties. The current implementation is applied to time and frequency domain electromagnetic data. Application outside of these data types is in development.
Foks, N. L., and Minsley, B. J. 2020. Geophysical Bayesian Inference in Python (GeoBIPy). 10.5066/P9K3YH9O
Minsley, B. J. 2011. A trans-dimensional Bayesian Markov chain Monte Carlo algorithm for model assessment using frequency-domain electromagnetic data. Geophys. J. Int. 187, 252–272. 10.1111/j.1365-246X.2011.05165.x