Results 121 to 130 of about 103,329 (151)
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A structured covariance ensemble for sufficient dimension reduction
Advances in Data Analysis and Classification, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qin Wang, Yuan Xue 0006
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Model averaging assisted sufficient dimension reduction
Computational Statistics & Data Analysis, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fang Fang, Zhou Yu 0006
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Nonparametric Variable Transformation in Sufficient Dimension Reduction
Technometrics, 2015Sufficient dimension reduction (SDR) techniques have proven to be very useful data analysis tools in various applications. Underlying many SDR techniques is a critical assumption that the predictors are elliptically contoured. When this assumption appears to be wrong, practitioners usually try variable transformation such that the transformed ...
Qing Mai, Hui Zou
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A note on sufficient dimension reduction
Statistics & Probability Letters, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Sparse sufficient dimension reduction
Biometrika, 2007Existing sufficient dimension reduction methods suffer from the fact that each dimension reduction component is a linear combination of all the original predictors, so that it is difficult to interpret the resulting estimates. We propose a unified estimation strategy, which combines a regression-type formulation of sufficient dimension reduction ...
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A note on sufficient dimension reduction with post dimension reduction statistical inference
AStA Advances in Statistical Analysis, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cluster-based estimation for sufficient dimension reduction
Computational Statistics & Data Analysis, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lexin Li +2 more
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Efficient Sparse Estimate of Sufficient Dimension Reduction in High Dimension
Technometrics, 2017ABSTRACTIn this article, we propose a new efficient sparse estimate (ESE) in sufficient dimension reduction using distance covariance. Our method is model-free and does not need any kernel function or slicing selection. Moreover, it can naturally deal with multivariate response scenarios, making it appealing in a modified sequential algorithm that ...
Chen, Xin, Sheng, Wenhui, Yin, Xiangrong
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Sufficient Dimension Reduction and Kernel Dimension Reduction
2023Benyamin Ghojogh +3 more
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Sufficient Dimension Reduction via Inverse Regression
Journal of the American Statistical Association, 2005R Dennis Cook
exaly