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 Ford, Lawrence Livermore National Laboratory, Livermore, CA, United States, Andrea Chiang, Lawrence Livermore National Laboratory, Atmospheric, Earth and Energy Division, Livermore, United States, Seongryong Kim, Seoul National University, School of Earth and Environmental Sciences, Seoul, Korea, Republic of (South), Jean Letort, Isterre, Grenoble, France, Hrvoje Tkalčić, Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia and William R Walter, Lawrence Livermore National Laboratory, Livermore, United States

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