HIGHLIGHTS
- who: Stephanie Earp from the School of Geosciences, University of Edinburgh, Edinburgh, UK have published the Article: Probabilistic neural network-based 2D travel-time tomography, in the Journal: (JOURNAL)
- what: The authors compare multiple methods to estimate probability density functions that represent the tomographic solution using different sets of prior information and different training methodologies. The authors demonstrate the importance of prior information in such high-dimensional inverse problems due to the curse of dimensionality: unrealistically informative prior probability distributions may result in better estimates of the mean velocity structure; however the uncertainties represented in . . .
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