Longitudinal data analysis using sufficient dimension reduction method

DOI10.1016/j.csda.2009.04.018zbMath1453.62137OpenAlexW1976207164MaRDI QIDQ961900

Xiangrong Yin, Lexin Li

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2009.04.018

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Dimension reduction based on conditional multiple index density function ⋮ Sufficient dimension reduction for clustered data via finite mixture modelling ⋮ Dimension reduction with expectation of conditional difference measure ⋮ Sufficient dimension reduction via distance covariance with multivariate responses ⋮ Minimum average deviance estimation for sufficient dimension reduction ⋮ Sufficient dimension reduction for conditional quantiles with alternative types of data

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