Theory of Bivariate Ace
نویسنده
چکیده
Recently, L. Breiman and l.R. Friedman introduced a non-parametric method for estimating transformations in regression data, the so called ACE-algorithm. This method promises to become one of the most powerful tools in data analysis, if some pitfalls are avoided. We point out some unexpected features in ACE as well as some curiosities in its mathematics which relate to tomography and projection pursuit regression.
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تاریخ انتشار 2007