1. Sigma-point Kalman filter data assimilation methods for strongly nonlinear systems;Ambadan;J. Atmos. Sci.,2009
2. Efficient parameter estimation for a highly chaotic system;Annan;Tellus, Ser. A Dyn. Meteorol. Oceanogr.,2004
3. A polynomial chaos-based nonlinear Bayesian approach for estimating state and parameter probability distribution functions;Bavdekar,2016
4. The iterated Kalman smoother as a Gauss–Newton method;Bell;SIAM J. Optim.,1994
5. Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects;Bishop;Mon. Weather Rev.,2001