Autotuning Hamiltonian Monte Carlo for efficient generalized nullspace exploration
Sign Up to like & getrecommendations! Published in 2021 at "Geophysical Journal International"
DOI: 10.1093/gji/ggab270
Abstract: We propose methods to efficiently explore the generalized nullspace of (non-linear) inverse problems, defined as the set of plausible models that explain observations within some misfit tolerance. Owing to the random nature of observational errors,… read more here.
Keywords: monte carlo; hamiltonian monte; nullspace exploration; generalized nullspace ... See more keywords