Sufficient Dimension Reduction With Missing Predictors

DOI10.1198/016214508000000283zbMath1471.62331OpenAlexW1990746472MaRDI QIDQ3632696

Lexin Li, Wen-Bin Lu

Publication date: 12 June 2009

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/016214508000000283

zbMATH Keywords

missing at randomdouble robustnesssufficient dimension reductionsliced inverse regressionmissing covariates

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Asymptotic properties of nonparametric inference (62G20)

Related Items (9)

Dimension reduction with missing response at random ⋮ On sliced inverse regression with missing values ⋮ On sufficient dimension reduction with missing responses through estimating equations ⋮ Dimensionality determination: a thresholding double ridge ratio approach ⋮ Missing data analysis with sufficient dimension reduction ⋮ Sliced inverse regression for survival data ⋮ Dimension reduction in estimating equations with covariates missing at random ⋮ Semiparametric double robust and efficient estimation for mean functionals with response missing at random ⋮ A note on sliced inverse regression with missing predictors

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