Comment: Fisher Lecture: Dimension Reduction in Regression
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Comment: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774]
💡 Research Summary
The paper under review is a commentary on Professor R. D. Cook’s Fisher Lecture titled “Dimension Reduction in Regression,” originally presented in 2007 and later made available as arXiv:0708.3774. Cook’s lecture introduced the concept of sufficient dimension reduction (SDR) as a unifying framework for reducing the predictor space in regression without sacrificing information about the conditional mean of the response. The central premise of SDR is that the conditional expectation E
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