HIGHLIGHTS
- who: Inverse theory and collaborators from the Laboratory, California Institute of Technology, Pasadena, California, USA have published the paper: A deep Gaussian process model for seismicity background rates, in the Journal: (JOURNAL)
- what: By documenting seismicity in the form of catalogues, the authors aim to better understand the mechanics of the crust as it evolves through time. The authors show how the deep-GP-ETAS model can be efficiently sampled by making use of a Metropolis-within-Gibbs scheme, taking advantage of the branching process formulation of ETAS and a stochastic partial differential equation (SPDE . . .
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