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least squares

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Weighted Least Squares and locally weighted linear regression

Krishna Sankar13 years ago13 years ago01 mins

From the post on Closed Form Solution for Linear regression, we computed the parameter vector  which minimizes the square of the error between the predicted value  and the actual output  for all  values in the training set. In that model all the  values in the training set is given equal importance.  Let us consider the case where it is known…

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  • DSP

Straight line fit using least squares estimate

Krishna Sankar18 years ago17 years ago71 mins

Two points suffice for drawing a straight line. However we may be presented with a set of data points (more than two?) presumably forming a straight line. How can one use the available set of data points to draw a straight line? A probable approach is to draw a straight line which hopefully minimizes the…

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