Structured Ordinary Least Squares: A Sufficient Dimension Reduction approach for regressions with partitioned predictors and heterogeneous units
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Publication:5283308
DOI10.1111/biom.12579zbMath1372.62078OpenAlexW2531906396WikidataQ39370886 ScholiaQ39370886MaRDI QIDQ5283308
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Publication date: 21 July 2017
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/biom.12579
data integrationvariable selectionordinary least squaressufficient dimension reductionstructured data
Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99)
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A structured covariance ensemble for sufficient dimension reduction ⋮ Specification Testing of Regression Models with Mixed Discrete and Continuous Predictors
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