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Material Type: Assignment; Class: Detection & Estimation Theory; Subject: Electrical and Computer Engr; University: University of Illinois - Urbana-Champaign; Term: Spring 2009;
Typology: Assignments
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Read the treatment of asymptotic robustness and robust detection on pages 250-263 of Levy, and provide a concise, one-or-two page summary of the most important results in the text.
IM = ID + ID/M.
c) Can you explain in an intuitive way how the Schur complement arises in the expressions for the LLSE error-covariance matrix?
Assume that, as in class, D is a non-singular matrix.
b) Find the Fisher information contained in n independent Bernoulli trials. c) Write a short report on the so-called Jeffreys prior distribution, related to Fisher information. Do you see where this prior could be used in our study of estimation theory?