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require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge.
presents interdiscipli
Probabilistic Forecasting and Bayesian Data Assimilation
Large-Scale Inverse Problems and Quantification of Uncertainty
Principles of Data Assimilation
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)
Data Assimilation for the Geosciences
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
Probability, Statistics, And Decision Making In The Atmospheric Sciences
Data Analysis
Smoothing and Regression
Data Assimilation for the Geosciences
Bayesian Scientific Computing
Advances in Computational Methods and Modeling for Science and Engineering
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