Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be interpreted as coherence statistics. The chapter on subspace averaging reviews basic results and derives an order-fitting rule for determining the dimension of an average subspace.
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Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be interpreted as coherence statistics. The chapter on subspace averaging reviews basic results and derives an order-fitting rule for determining the dimension of an average subspace.
Read Less
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