Abstract: BayesMT: Bayesian inference for the seismic moment tensor using regional and teleseismic-P waveforms with first-motion data and a calibrated prior distribution of velocity models (2016 AGU Fall Meeting)

BayesMT: Bayesian inference for the seismic moment tensor using regional and teleseismic-P waveforms with first-motion data and a calibrated prior distribution of velocity models

Sean Ricardo Ford¹, Andrea Chiang², Seongryong Kim³, Jean Letort⁴, Hrvoje Tkalčić⁵ and William R Walter¹, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Lawrence Livermore National Laboratory, Atmospheric, Earth and Energy Division, Livermore, United States, (3)Seoul National University, School of Earth and Environmental Sciences, Seoul, Korea, Republic of (South), (4)Isterre, Grenoble, France, (5)Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia

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