most citedMulti-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network

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stat.AP2019

Inverse modeling of hydrologic parameters in CLM4 via generalized polynomial chaos in the Bayesian framework

Georgios Karagiannis, Zhangshuan Hou, Maoyi Huang +1

In this study, the applicability of generalized polynomial chaos (gPC) expansion for land surface model parameter estimation is evaluated. We compute the (posterior) distribution o…