Results 271 to 280 of about 6,086,701 (288)
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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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Subspace Controllability of Quantum Ising Spin Networks with a Central Spin
2019 18th European Control Conference (ECC), 2019We consider a class of spin networks where each spin in a certain set interacts via Ising coupling with a single central spin. This is a common situation for instance in NV centers in diamonds. Due to the permutation symmetries of the network, the system is not globally controllable but it displays invariant subspaces of the underlying Hilbert space ...
Domenico D'Alessandro +1 more
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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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Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products
SIAM Journal on Mathematics of Data ScienceWe consider the problem of sufficient dimension reduction (SDR) for multi-index models. The estimators of the central mean subspace in prior works either have slow (non-parametric) convergence rates, or rely on stringent distributional conditions (e.g., the covariate distribution $P_{\mathbf{X}}$ being elliptical symmetric). In this paper, we show that
Daniel Hsu, Gan Yuan
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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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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
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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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Algebras with a Diagonable Subspace whose Centralizer Satisfies a Polynomial Identity
Canadian Journal of Mathematics, 1977The literature concerning rings with polynomial identity contains several theorems in which the existence of a polynomial identity on a subring implies the existence of such an identity on the ring itself. Belluce and Jain showed in 1968 that a prime ring will satisfy a polynomial identity provided it contains a right ideal with zero left annihilator ...
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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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