The Oxford Handbook of Nonlinear Filtering
(Part of the Oxford Handbooks in Mathematics Series)
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In many areas of human endeavor, the systems involved are not available for direct measurement. Instead, by combining mathematical models for a system's evolution with partial observations of its evolving state, we can make reasonable inferences about it. The increasing complexity of the
modern world makes this analysis and synthesis of high-volume data an essential feature in many real-world problems. The celebrated Kalman-Bucy filter,...
Format:Hardcover
Language:English
ISBN:0199532907
ISBN13:9780199532902
Release Date:April 2011
Publisher:Oxford University Press, USA
Length:1088 Pages
Weight:4.40 lbs.
Dimensions:2.5" x 6.9" x 9.7"
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