SUMMARY To understand earth processes, geoscientists infer subsurface properties such as electromagnetic resistivity or seismic velocity from surface observations of data. These are used to populate an model vector, and the spatial variation across this vector sheds light on underlying structure physical phenomenon interest, groundwater aquifers plate tectonics. However, these characteristics n...

We investigate the use of learning approaches to handle Bayesian inverse problems in a computationally efficient way when signals be inverted present moderately high number dimensions and are large number. propose tractable regression approach which has advantage produce full probability distributions as approximations target posterior distributions. In addition provide confidence indices on pr...