supported by the National Basic Research Program of China(973 Program)(2013CB733000)
The ever-increasing complexity of industry facilities has made the reliability analysis and assessment an imperative yet tough work. Motivated by practical engineering requirement, this paper develops a Bayesian-based...
sponsorship of the National Natural Science Foundation of China (41674130, 41404088);the National Basic Research Program of China (973 Program, 2013CB228604, 2014CB239201);the National Oil and Gas Major Projects of China (2016ZX05027004-001, 2016ZX05002005-09HZ);the Fundamental Research Funds for the Central Universities (14CX02113A, 15CX08002A) for their funding in this research
The conventional Markov chain Monte Carlo (MCMC) method is limited to the selected shape and size of proposal distribution and is not easy to start when the initial proposal distribution is far away from the target ...
The National Natural Science Foundation of China under contract Nos 41276029 and 41321004;the Project of State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography under contract No.SOEDZZ1404;the National Basic Research Program(973 Program)of China under contract No.2013CB430302
Bayesian estimation theory provides a general approach for the state estimate of linear or nonlinear and Gaussian or non-Gaussian systems. In this study, we first explore two Bayesian-based methods: ensemble adjustme...
supported by the National Basic Research Program of China(973 Program)(No.2013CB228603);National Science and Technology major projects(No.2011ZX05024 and 2011ZX05010);the National Natural Science Foundation of China(No.41174119)
Seismic inversion is a highly ill-posed problem, due to many factors such as the limited seismic frequency bandwidth and inappropriate forward modeling. To obtain a unique solution, some smoothing constraints, e.g., t...