Before revision: The Ensemble Kalman inversion ( EnKI ), proposed by Iglesias et al. for the solution of Bayesian inverse problems of type y= Au +\varepsilon, with u  being an unknown parameter and y a given datum, is a powerful tool usually derived from a sequential Monte Carlo point of view.
After revision: The Ensemble Kalman inversion ( EnKI ), proposed by Iglesias et al. for the solution of Bayesian inverse problems of type y= A u^\dagger +\varepsilon, with u being an unknown parameter and y a given datum, is a powerful tool usually derived from a sequential Monte Carlo point of view.