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pro vyhledávání: '"Ba, Yuming"'
Autor:
Ba, Yuming, Oliver, Dean S.
The weighting of critical-point samples in the weighted randomized maximum likelihood method depend on the magnitude of the data mismatch at the critical points and on the Jacobian of the transformation from the prior density to the proposal density.
Externí odkaz:
http://arxiv.org/abs/2301.05448
Publikováno v:
In Journal of Computational Physics 1 June 2024 506
Minimization of a stochastic cost function is commonly used for approximate sampling in high-dimensional Bayesian inverse problems with Gaussian prior distributions and multimodal posterior distributions. The density of the samples generated by minim
Externí odkaz:
http://arxiv.org/abs/2101.03612
Autor:
Ba, Yuming, Jiang, Lijian
In the paper, we develop an ensemble-based implicit sampling method for Bayesian inverse problems. For Bayesian inference, the iterative ensemble smoother (IES) and implicit sampling are integrated to obtain importance ensemble samples, which build a
Externí odkaz:
http://arxiv.org/abs/1812.00375
Ensemble Kalman filter (EnKF) has been widely used in state estimation and parameter estimation for the dynamic system where observational data is obtained sequentially in time. To reduce uncertainty and accelerate posterior inference, a two-stage en
Externí odkaz:
http://arxiv.org/abs/1802.10480
Autor:
Ba, Yuming, Jiang, Lijian
Publikováno v:
In Journal of Computational and Applied Mathematics 1 January 2022 399
Autor:
Ba, Yuming, Oliver, Dean S.
Publikováno v:
Mathematical Geosciences; Jul2024, Vol. 56 Issue 5, p887-921, 35p
Publikováno v:
Computational Geosciences; Feb2022, Vol. 26 Issue 1, p217-239, 23p
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