Comparison between the Hamiltonian Monte Carlo method and the Metropolis–Hastings method for coseismic fault model estimation - Yamada, Taisuke; Ohno, Keitaro; Ohta, Yusaku (Earth, planets, and space, 2022)
Keywords: 6. Geodesy; Algorithms; Bayesian analysis; Bayesian inversion; Burn-in; Comparative analysis; Earth and Environmental Science; Earth Sciences; Earthquake damage; Earthquakes; Fault lines; Faults (Geology); Geology; Geophysics/Geodesy; Global navigation satellite system; Green's function; Green's functions; Hamiltonian Monte Carlo; Markov analysis; Markov chain Monte Carlo; Markov chains; Mathematical models; Modelling; Monte Carlo method; Monte Carlo simulation; Parameters; Power spectral density; Random walk; Real-time GEONET analysis system for rapid deformation; Recent Advances in Scientific Application of GNSS Array Data; Sampling; Seismic activity; Statistical methods; Uncertainty; Japan; Global navigation satellite system; Hamiltonian Monte Carlo; Bayesian inversion; Real-time GEONET analysis system for rapid deformation; Markov chain Monte Carlo