Posterior Uncertainty Estimation via a Monte Carlo Procedure Specialized for Data Assimilation

Michael Stanley, Mikael Kuusela, Brendan Byrne +1

Through the Bayesian lens of data assimilation, uncertainty on model parameters is traditionally quantified through the posterior covariance matrix. However, in modern settings inv…