A Bayesian tutorial for data assimilation

[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 .