Results 161 to 170 of about 8,300 (176)
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Determining the dimension of the central subspace and central mean subspace
Biometrika, 2008The central subspace and central mean subspace are two important targets of sufficient dimension reduction. We propose a weighted chi-squared test to determine their dimensions based on matrices whose column spaces are exactly equal to the central subspace or the central mean subspace.
Peng Zeng
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Estimation and inference on central mean subspace for multivariate response data
Computational Statistics & Data Analysis, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liping Zhu, Wei Zhong
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Dimension reduction estimation for central mean subspace with missing multivariate response
Journal of Multivariate Analysis, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guoliang Fan 0002 +2 more
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A martingale-difference-divergence-based estimation of central mean subspace
Statistics and Its Interface, 2019Yu Zhang +3 more
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Journal of Multivariate Analysis, 2021
This paper proposes a weighted version of the Minimum Average Variance Estimation (MAVE) method to estimate the Central Mean Subspace with multivariate response. The algorithm to implement the weighted MAVE method is provided. Asymptotic distribution of the MAVE estimator under the multivariate response setting is also derived.
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This paper proposes a weighted version of the Minimum Average Variance Estimation (MAVE) method to estimate the Central Mean Subspace with multivariate response. The algorithm to implement the weighted MAVE method is provided. Asymptotic distribution of the MAVE estimator under the multivariate response setting is also derived.
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Brain and other central nervous system tumor statistics, 2021
Ca-A Cancer Journal for Clinicians, 2021, Jill Barnholtz-Sloan, Carol Kruchko
exaly
Geometric Mean for Subspace Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009Dacheng Tao +2 more
exaly
On Estimation Efficiency of the Central Mean Subspace
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2014Liping Zhu
exaly

