12.864 Inference from Data and Models, Spring 2003

12.864 Inference from Data and Models, Spring 2003

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Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, control theory, sequential estimation (Kalman filters and smoothing algorithms)...

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Bibliographic Details
Main Author: Wunsch, Carl
Language:en-US
Published: 2003
Subjects:
observation
kinematical models
dynamical models
basic statistics
linear algebra
inverse methods
singular value decompositions
control theory
sequential estimation
Kalman filters
smoothing algorithms
adjoint/Pontryagin principle methods
model testing
stationary processes
Fourier methods
z-transforms
sampling theorems
spectra
multi-taper methods
coherences
filtering
quantitative combinations
realistic observations
data assimilations
deduction
regression
objective mapping
time series analysis
inference
Online Access:http://hdl.handle.net/1721.1/36361

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http://hdl.handle.net/1721.1/36361

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