5 citations · 15 across the 10 of their papers we have counts for
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stat.CO2022★ 3 cited
Component-wise iterative ensemble Kalman inversion for static Bayesian models with unknown measurement error covariance
Imke Botha, Matthew P. Adams, Dang Khuong Tran +2
The ensemble Kalman filter (EnKF) is a Monte Carlo approximation of the Kalman filter for high dimensional linear Gaussian state space models. EnKF methods have also been developed…
stat.CO2019★ 5 cited
Bayesian inference using synthetic likelihood: asymptotics and adjustments
David T. Frazier, David J. Nott, Christopher Drovandi +1
Implementing Bayesian inference is often computationally challenging in applications involving complex models, and sometimes calculating the likelihood itself is difficult. Synthet…