Markov Chain Monte Carlo Methods: Theory and Applications - Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications - page 82

Adaptive Metropolis algorithm (DREAM, Vrugt and Ter Braak 2011 , http://jasper.
eng.uci.edu/software.html ) . (The author is not affiliated with or funded by any of
these research efforts, and makes no claims as to the utility or effectiveness of the
software.)

Acknowledgements The author gratefully acknowledges the support of the NASA Modeling,
Analysis, and Prediction program under grants NNX09AJ43G and NNX09AJ46G, the Office
of Naval Research Broad Agency Announcement program under grant N00173-10-1-G035, and
the National Science Foundation Physical and Dynamic Meteorology Program under grant AGS
1005454. Tomislava Vukicevic (NOAA-AOML), Craig Bishop (NRL-Monterey), Marcus van
Lier-Walqui (U. Miami-RSMAS), Tristan L'Ecuyer (U. Wisconsin), Steve Cooper (U. Utah), and
Graeme Stephens (NASA-JPL) all contributed to this research. Luca Della Monache (NCAR), Dan
Hodyss (NRL-Monterey), Peter Norris (NASA Goddard Space Flight Center), and an anonymous
reviewer all contributed valuable feedback on this manuscript.

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