Analysis of microarray right-censored data through fused sliced inverse regression. [PDF]
Sci Rep, 2019 Yoo JK.
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Analysing Ambulatory Blood Pressure Monitoring Data with Multivariate Sliced Inverse Regression.
This paper proposes to use a semi parametric regression method, named Sliced Inverse Regression (SIR hereafter), to analyse ambulatory blood pressure monitoring data.ECONOMETRICS;EVALUATION;HEALTH ...
Aragon, Y. +3 more
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MODEL FREE ESTIMATION OF GRAPHICAL MODEL USING GENE EXPRESSION DATA. [PDF]
Ann Appl Stat, 2021 Yang J, Liu Y, Liu Y, Sun W.
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Interpretable sparse sliced inverse regression for functional data
, 2016 The focus is on the functional regression model in which a real random variable has to be predicted from functional predictors. We use the semiparametric framework of Sliced Inverse Regression (SIR).
Servien, Remi +2 more
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Nonlinear Modeling Reveals Novel Associations Between Genetically Predicted Protein Levels and Pancreatic Cancer Risk. [PDF]
Mol CarcinogZhu J +6 more
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Contrastive Dimension Reduction: A Systematic Review. [PDF]
Wiley Interdiscip Rev Comput StatHawke S, Zhang E, Chen J, Li D.
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Sufficient dimension reduction on partially nonlinear index models with applications to medical costs analysis. [PDF]
PLoS OneZhao X, Xia Y, Xu X.
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Kernel-based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method. [PDF]
Int J Numer Methods Eng, 2022 Romor F, Tezzele M, Lario A, Rozza G.
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Nonlinear sufficient dimension reduction for distribution-on-distribution regression. [PDF]
J Multivar AnalZhang Q, Li B, Xue L.
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Sparse Sliced Inverse Regression Via Lasso. [PDF]
J Am Stat Assoc, 2019 Lin Q, Zhao Z, Liu JS.
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