A Bayesian tutorial for data assimilation
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[1] J. Andrew Royle,et al. Bayesian Methods in the Atmospheric Sciences , 2007 .
[2] 竹安 数博,et al. Time series analysis and its applications , 2007 .
[3] L. Mark Berliner,et al. Combining Information Across Spatial Scales , 2005, Technometrics.
[4] L. M. Berliner,et al. Hierarchical Bayesian space-time models , 1998, Environmental and Ecological Statistics.
[5] L. Mark Berliner,et al. Physical‐statistical modeling in geophysics , 2003 .
[6] C. Wikle. Hierarchical Models in Environmental Science , 2003 .
[7] Christopher K. Wikle,et al. Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes , 2003 .
[8] L. Mark Berliner,et al. Hierarchical Bayesian Approach to Boundary Value Problems with Stochastic Boundary Conditions , 2003 .
[9] L. Mark Berliner,et al. Bayesian hierarchical modeling of air-sea interaction , 2003 .
[10] Jeffrey L. Anderson. A Local Least Squares Framework for Ensemble Filtering , 2003 .
[11] D. Menemenlis. Inverse Modeling of the Ocean and Atmosphere , 2002 .
[12] Eugenia Kalnay,et al. Atmospheric Modeling, Data Assimilation and Predictability , 2002 .
[13] Jeffrey L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .
[14] L. Mark Berliner,et al. Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds , 2001 .
[15] A E Gelfand,et al. On the change of support problem for spatio-temporal data. , 2001, Biostatistics.
[16] José M Bernardo and Adrian F M Smith,et al. BAYESIAN THEORY , 2008 .
[17] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[18] Neil J. Gordon,et al. Editors: Sequential Monte Carlo Methods in Practice , 2001 .
[19] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[20] Noel A Cressie,et al. Long-Lead Prediction of Pacific SSTs via Bayesian Dynamic Modeling , 2000 .
[21] Hoon Kim,et al. Monte Carlo Statistical Methods , 2000, Technometrics.
[22] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[23] Philippe Courtier,et al. Variational Methods (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice) , 1997 .
[24] Olivier Talagrand,et al. Assimilation of Observations, an Introduction (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice) , 1997 .
[25] L. Mark Berliner,et al. Hierarchical Bayesian Time Series Models , 1996 .
[26] G. Evensen,et al. Assimilation of Geosat altimeter data for the Agulhas current using the ensemble Kalman filter with , 1996 .
[27] Petros G. Voulgaris,et al. On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..
[28] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[29] Noel A Cressie,et al. Statistics for Spatial Data, Revised Edition. , 1994 .
[30] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[31] Mohinder S. Grewal,et al. Kalman Filtering: Theory and Practice , 1993 .
[32] Mike Rees,et al. 5. Statistics for Spatial Data , 1993 .
[33] M. West. Approximating posterior distributions by mixtures , 1993 .
[34] R. Daley. Atmospheric Data Analysis , 1991 .
[35] M. Ghil,et al. Data assimilation in meteorology and oceanography , 1991 .
[36] John Skilling,et al. Maximum Entropy and Bayesian Methods , 1989 .
[37] J. Berger. Statistical Decision Theory and Bayesian Analysis , 1988 .
[38] H. J. Thiébaux,et al. Spatial objective analysis : with applications in atmospheric science , 1987 .
[39] A. Tarantola. Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .
[40] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[41] Edward S Epstein. Statistical inference and prediction in climatology : a bayesian approach , 1985 .
[42] Nozer D. Singpurwalla,et al. Understanding the Kalman Filter , 1983 .
[43] R. Shumway,et al. AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM , 1982 .
[44] S. Cohn,et al. Applications of Estimation Theory to Numerical Weather Prediction , 1981 .
[45] Michael Ghil,et al. Dynamic Meteorology: Data Assimilation Methods , 1981 .
[46] R. Mehra,et al. Computational aspects of maximum likelihood estimation and reduction in sensitivity function calculations , 1974 .
[47] G. Matheron. Principles of geostatistics , 1963 .
[48] L. Gandin. Objective Analysis of Meteorological Fields , 1963 .
[49] Edward S. Epstein,et al. A Bayesian Approach to Decision Making in Applied Meteorology , 1962 .
[50] C.,et al. Analysis methods for numerical weather prediction , 2022 .