• Importance Weighting in Hybrid Iterative Ensemble Smoothers for Data Assimilation 

      Ba, Yuming; Oliver, Dean (Peer reviewed; Journal article, 2024)
      Because it is generally impossible to completely characterize the uncertainty in com- plex model variables after assimilation of data, it is common to approximate the uncertainty by sampling from approximations of the ...
    • Randomized maximum likelihood based posterior sampling 

      Ba, Yuming; de Wiljes, Jana; Oliver, Dean; Reich, Sebastian (Peer reviewed; Journal article, 2021)
      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 ...