Measure Theory and Filtering

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The estimation of noisily observed states from a sequence of data has traditionally incorporated ideas from Hilbert spaces and calculus-based probability theory. As conditional expectation is the key concept, the correct setting for filtering theory is that of a probability space. Graduate engineers, mathematicians and those working in quantitative finance wishing to use filtering techniques will ...
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The estimation of noisily observed states from a sequence of data has traditionally incorporated ideas from Hilbert spaces and calculus-based probability theory. As conditional expectation is the key concept, the correct setting for filtering theory is that of a probability space. Graduate engineers, mathematicians and those working in quantitative finance wishing to use filtering techniques will ...
Read more
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  • Formats: pdf
  • ISBN: 9780511227684
  • Publication Date: 13 Sept 2004
  • Publisher: Cambridge University Press
  • Product language: English
  • Drm Setting: DRM