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Filters: Author is Wikle, C. K.  [Clear All Filters]
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Berliner LM, Wikle CK.  2006.  Approximate importance sampling Monte Carlo for data assimilation. Physica D. doi:10.1016/j.physd.2006.07.031
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Berliner LM, Milliff RF, Wikle CK.  2003.  Bayesian hierarchical modeling of air-sea interaction. Journal of Geophysical Research. 108(C4):3104,doi:10.1029/2002JC001413.
Wikle CK, Berliner LM.  2006.  A Bayesian tutorial for data assimilation. Physica D. doi:10.1016/j.physd.2006.09.017
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Berliner LM, Wikle CK.  2005.  Combining information across spatial scales. Technometrics. 47:80-91.
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Wikle CK, Berliner LM, Milliff RF.  2003.  Hierarchical Bayesian approach to boundary value problems with stochastic boundary conditions. Monthly Weather Review. 131:1051-1062.
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Berliner LM, Wikle CK, Cressie N.  2000.  Long-lead prediction of Pacific SST's via Bayesian dynamic modeling. Journal of Climate. 13:3953-3968.
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Cressie N, Wikle CK.  2002.  Space-time Kalman filter. Encyclopedia of Environmetrics. Volume 4:2045-2049.
Wikle CK, Cressie N.  2000.  Space-time statistical modeling of environmental data. Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing. :213-235.
Wikle CK, Milliff RF, Nychka D, Berliner LM.  2001.  Spatio-temporal hierarchical Bayesian blending of tropical ocean surface wind data. Journal of the American Statistical Association. 96:382-397.
W
Hoar TJ, Milliff RF, Nychka D, Wikle CK, Berliner LM.  2003.  Winds from a Bayesian hierarchical model: Computation for atmosphere-ocean research. Journal of Computational and Graphical Statistics. 12:781-807.