Results 21 to 30 of about 10,590 (247)
Symbol p-algebras of prime degree and their p-central subspaces [PDF]
Archiv der Mathematik, 2016 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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Applied Sciences, 2020 To interpret the nonlinear system identification of multi-degree-of-freedom vibrating structures with freeplay, an estimation procedure based on subspace method in time domain is developed in this paper.
Sun Yukai +3 more
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Machine Learning Techniques to Map the Impact of Urban Heat Island: Investigating the City of Jeddah
Land, 2023 Over the last decades, most agricultural land has been converted into residential colonies to accommodate the rapid population expansion. Population growth and urbanization result in negative consequences on the environment.
Abdullah Addas
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An integral transform method for estimating the central mean and central subspaces
Journal of Multivariate Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peng Zeng, Yu Zhu
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An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices
Discrete Analysis, 2023 An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices, Discrete Analysis 2023:3, 9 pp. There are many situations, often of great practical importance, where one would like to obtain a good approximation for a mathematical ...
Jaroslaw Blasiok +4 more
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Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction
Journal of Causal Inference, 2019 Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the covariates. In this paper, we use sufficient dimension reduction to estimate a lower dimensional
Luo Wei, Wu Wenbo, Zhu Yeying
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eLife, 2023 Listeners with hearing loss often struggle to understand speech in noise, even with a hearing aid. To better understand the auditory processing deficits that underlie this problem, we made large-scale brain recordings from gerbils, a common animal model ...
Shievanie Sabesan +4 more
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On Estimation Efficiency of the Central Mean Subspace
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2013 SummaryWe investigate the estimation efficiency of the central mean subspace in the framework of sufficient dimension reduction. We derive the semiparametric efficient score and study its practical applicability. Despite the difficulty caused by the potential high dimension issue in the variance component, we show that locally efficient estimators can ...
Yanyuan Ma, Liping Zhu
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International Journal of Management and Economics, 2018 The main aim of this paper was to shed a new empirical light on the nature and most salient features of the evolving postcommunist capitalism in 11 Central and Eastern European (CEE11) countries against the backdrop of Western European models of ...
Rapacki Ryszard, Czerniak Adam
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Frontiers in Neuroinformatics, 2019 Many cognitive, sensory and motor processes have correlates in oscillatory neural source activity, which is embedded as a subspace in the recorded brain signals. Decoding such processes from noisy magnetoencephalogram/electroencephalogram (M/EEG) signals
Sebastián Castaño-Candamil +3 more
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