Results 11 to 20 of about 139,450 (186)
Central subspaces review: methods and applications
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Rodrigues, SA, Huggins, R, Liquet, B
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Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression [PDF]
In regression with a high-dimensional predictor vector, it is important to estimate the central and central mean subspaces that preserve sufficient information about the response and the mean response. Using the Fourier transform, we have derived the candidate matrices whose column spaces recover the central and central mean subspaces exhaustively ...
Zhu, Yu, Zeng, Peng
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Statistical multi-level shape models for scalable modeling of multi-organ anatomies
Statistical shape modeling is an indispensable tool in the quantitative analysis of anatomies. Particle-based shape modeling (PSM) is a state-of-the-art approach that enables the learning of population-level shape representation from medical imaging data
Nawazish Khan +11 more
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Central quantile subspace [PDF]
Quantile regression (QR) is becoming increasingly popular due to its relevance in many scientific investigations. There is a great amount of work about linear and nonlinear QR models. Specifically, nonparametric estimation of the conditional quantiles received particular attention, due to its model flexibility.
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Central Subspaces of Banach Spaces
Let \(X\) be a Banach space. A subspace \(Y \subset X\) is called a central subspace (\(C\)-subspace) of \(X\) if every finite family of closed balls with centers in \(Y\) that intersects in \(X\) also intersects in \(Y\). In particular \(X\) is said to be generalized center (GC) if and only if \(X\) is a \(C\)-subspace of \(X^{**}\).
Bandyopadhyay, Pradipta, Rao, T.S.S.R.K.
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Irrational Conformal Field Theory [PDF]
This is a review of irrational conformal field theory, which includes rational conformal field theory as a small subspace. Central topics of the review include the Virasoro master equation, its solutions and the dynamics of irrational conformal field ...
Ademollo +178 more
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Intersection Properties of Balls in Banach Spaces
We introduce a weaker notion of central subspace called almost central subspace, and we study Banach spaces that belong to the class (GC), introduced by Veselý (1997). In particular, we prove that if is an almost central subspace of a Banach space such
C. R. Jayanarayanan
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Performance of a Distributed Stochastic Approximation Algorithm [PDF]
In this paper, a distributed stochastic approximation algorithm is studied. Applications of such algorithms include decentralized estimation, optimization, control or computing.
Bianchi, Pascal +2 more
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The Dual Central Subspaces in dimension reduction
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Iaci, Ross, Yin, Xiangrong, Zhu, Lixing
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Symbol p-algebras of prime degree and their p-central subspaces [PDF]
We prove that the maximal dimension of a $p$-central subspace of the generic symbol $p$-algebra of prime degree $p$ is $p+1$. We do it by proving the following number theoretic fact: let $\{s_1,\dots,s_{p+1}\}$ be $p+1$ distinct nonzero elements in the additive group $G=(\mathbb{Z}/p \mathbb{Z}) \times (\mathbb{Z}/p \mathbb{Z})$; then every nonzero ...
Adam Chapman, Michael Chapman
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