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An algorithm for weighted least squares regression by integer quasi-convex and unimodal or umbrella functions

✍ Scribed by Ming-Hong Liu; Vasant A. Ubhaya


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
572 KB
Volume
58
Category
Article
ISSN
0898-1221

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✦ Synopsis


ordering Isotonic regression Linear time algorithms Greatest convex minorant (GCM) Least concave majorant (LCM) a b s t r a c t

The problem of fitting n data points by an integer quasi-convex (also quasi-concave, umbrella or unimodal) function using the weighted least squares distance function is considered. An algorithm of linear time (O(n)) worst-case complexity and thus optimal is constructed for computing a best fit. This problem arises in the context of curve fitting or statistical estimation.