Sufficient dimension reduction in regressions across heterogeneous subpopulations

Sliced inverse regression is one of the widely used dimension reduction methods. Chiaromonte and co-workers extended this method to regressions with qualitative predictors and developed a method, partial sliced inverse regression, under the assumption that the covariance matrices of the continuous p...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series B, Statistical methodology Statistical methodology, 2006-02, Vol.68 (1), p.89-107
Hauptverfasser:	Ni, Liqiang, Dennis Cook, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Consistent estimators Covariance Covariance matrices Dimensionality reduction Eigenvalues Estimate reliability Estimating techniques Exact sciences and technology General partial sliced inverse regression Linear inference, regression Linear regression Mathematics Methodology Modeling P values Partial sliced inverse regression Probability and statistics Quantitative analysis Regression analysis Sample size Sciences and techniques of general use Sliced inverse regression Statistical methods Statistics Studies Sufficient dimension reduction
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