Results 231 to 240 of about 10,590 (247)
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Using intraslice covariances for improved estimation of the central subspace in regression
Biometrika, 2006SUMMARY Popular methods for estimating the central subspace in regression require slicing a continuous response. However, slicing can result in loss of information and in some cases that loss can be substantial. We use intraslice covariances to construct improved inference methods for the central subspace.
R Dennis Cook, Cook R Dennis
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Subspace Optimization in Centralized Noncoherent MIMO Radar
IEEE Transactions on Aerospace and Electronic Systems, 2011We consider the problem of subspace optimization for centralized noncoherent multiple input-multiple output (MIMO) radar based on various measures such as capacity, diversity, and probability of detection. In subspace centralized noncoherent MIMO radar (SC-MIMO), a subset of stations is selected based on channel knowledge or channel statistics to ...
Thomas G. Pratt +3 more
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Centralized joint sparse representation for multi-view subspace clustering
Journal of Intelligent & Fuzzy Systems, 2020Multi-view subspace clustering arises in many computer visional tasks such as object recognition and image segmentation. The basic idea is to measure the same instance with multiple views. In this paper, we proposed two centralized joint sparse representation models, namely, Centralized Global Joint Sparse Representation (CGJSR) and Centralized Local ...
Mengying Xie, Xiaolan Liu 0003, Gan Pan
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Estimating central subspaces via inverse third moments
Biometrika, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yin, Xiangrong, Cook, R. Dennis
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Exploring central subspace via contour regression
Journal of the Korean Statistical Society, 2013Abstract Contour regression, a method for estimating the central subspace in regression, is based on estimating contour directions of small variation in the response. These directions span the orthogonal complement of the central subspace and can be extracted according to two measures of variation in the response: simple and general contour ...
Hakbae Lee, Pilkeun Choi
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Manuscripta Mathematica, 2011
A composition algebra is a (non-associative) algebra \((C, \ast )\) over a field \(F\), endowed with a non-degenerate quadratic ``norm form'' \(N: C \to F\), such that \(N(a \ast b) = N(a)N(b)\), \(a,b\in C\). Two special classes of these algebras have been fully classified.
Matzri, Eliyahu, Vishne, Uzi
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A composition algebra is a (non-associative) algebra \((C, \ast )\) over a field \(F\), endowed with a non-degenerate quadratic ``norm form'' \(N: C \to F\), such that \(N(a \ast b) = N(a)N(b)\), \(a,b\in C\). Two special classes of these algebras have been fully classified.
Matzri, Eliyahu, Vishne, Uzi
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Fused Estimators of the Central Subspace in Sufficient Dimension Reduction
Journal of the American Statistical Association, 2014When studying the regression of a univariate variable Y on a vector x of predictors, most existing sufficient dimension-reduction (SDR) methods require the construction of slices of Y to estimate moments of the conditional distribution of X given Y. But there is no widely accepted method for choosing the number of slices, while a poorly chosen slicing ...
R. Dennis Cook, Xin Zhang
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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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CSR: A Centrality Based on Robustness and Controllable Subspace of Complex Networks
2019 Chinese Control And Decision Conference (CCDC), 2019Complex networks are everywhere, some of them are airline network, road network, power grid network and protein-to-protein network. These networks are robust in failure or under attack but still needs in-depth study. Researchers have proposed various techniques to find and enhance the robustness of networks.
A. Mahmood, Umair Usman, Lin Wang
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