Results 21 to 30 of about 246 (200)
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
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Complexity, 2021 In this paper, we propose an adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis and prediction through the study and analysis of sports videos.
Lizhi Geng
doaj +1 more source
Applied Sciences, 2023 This manuscript proposes the possibility of concatenated signatures (instead of images) obtained from different integral transforms, such as Fourier, Mellin, and Hilbert, to classify skin lesions.
Esperanza Guerra-Rosas +4 more
doaj +1 more source
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
doaj +1 more source
Excitations in strict 2-group higher gauge models of topological phases
Journal of High Energy Physics, 2020 We consider an exactly solvable model for topological phases in (3+1) d whose input data is a strict 2-group. This model, which has a higher gauge theory interpretation, provides a lattice Hamiltonian realisation of the Yetter homotopy 2-type topological
Alex Bullivant, Clement Delcamp
doaj +1 more source
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
openaire +1 more source
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
doaj +1 more source