A Note on a Power Generalization of Ridge Regression

O*(k, q) = [X'X + k(X'X)-q]-'X'y = [X'X + Q'DQ]-'X'y (1.3) where D = diag (d,d2 * dp), di = k/X\i. Thus, ki = k/X,i in the general formulation of (1.1) and (1.2). In Hoerl and Kennard [1] it was shown that the optimum K matrix has elements ki = a2/ai2. Since the optimum k,'s are inversely proportional to the regression coefficients and not to the eigenvalues, it appears that exploration of the (X'X)+l variation will not prove fruitful.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average