A note on the invariance law for surrogate dimension reduction

Xiangrong Yin; Bing Li

doi:10.1080/03610920903108517

A note on the invariance law for surrogate dimension reduction

Xiangrong Yin, Bing Li

Statistics

Research output: Contribution to journal › Article › peer-review

Abstract

In this article, we give an alternative and much shorter proof for the invariance law of surrogate dimension reduction for measurement error regression that was established by Li and Yin (2007).

Original language	English (US)
Pages (from-to)	2721-2724
Number of pages	4
Journal	Communications in Statistics - Theory and Methods
Volume	39
Issue number	15
DOIs	https://doi.org/10.1080/03610920903108517
State	Published - Sep 2010

All Science Journal Classification (ASJC) codes

Statistics and Probability

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10.1080/03610920903108517

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title = "A note on the invariance law for surrogate dimension reduction",

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A note on the invariance law for surrogate dimension reduction

Abstract

All Science Journal Classification (ASJC) codes

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