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|Title:||Optimal recursive estimation of raw data|
|Citation:||Annals of Operations Research, 2005; 133(1-3):285-302|
|Publisher:||Kluwer Academic Publishers|
|Anatoli Torokhti, Phil Howlett and Charles Pearce|
|Abstract:||We present a new approach to the optimal estimation of random vectors. The approach is based on a combination of a specific iterative procedure and the solution of a best approximation problem with a polynomial approximant. We show that the combination of these new techniques allow us to build a computationally effective and flexible estimator. The strict justification of the proposed technique is provided.|
|Description:||The original publication is available at www.springerlink.com|
|Appears in Collections:||Applied Mathematics publications|
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