A comparative evaluation of sufficient dimension reduction and traditional statistical methods for composite biomarker score construction in diagnostic classification [PDF]
BMC Medical Research MethodologyBackground Combining multiple biomarkers into a single diagnostic score can improve disease classification. However, traditional methods such as logistic regression and linear discriminant analysis depend on restrictive distributional assumptions, which ...
Hulya Ozen, Ertugrul Colak, Dogukan Ozen
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Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression [PDF]
Journal of the American Statistical Association, 2006 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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Some dimension reduction strategies for the analysis of survey data
Journal of Big Data, 2017 In the era of big data, researchers interested in developing statistical models are challenged with how to achieve parsimony. Usually, some sort of dimension reduction strategy is employed.
Jiaying Weng, Derek S. Young
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Performance of a Distributed Stochastic Approximation Algorithm [PDF]
, 2012 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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Modeling consonant-vowel coarticulation for articulatory speech synthesis.
PLoS ONE, 2013 A central challenge for articulatory speech synthesis is the simulation of realistic articulatory movements, which is critical for the generation of highly natural and intelligible speech.
Peter Birkholz
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Uncontrolled manifold reference feedback control of multi-joint robot arms
Frontiers in Computational Neuroscience, 2016 The brain must coordinate with redundant bodies to perform motion tasks. The aim of the present study is to propose a novel control model that predicts the characteristics of human joint coordination at a behavioral level.
Shunta Togo +3 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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High-Dimensional Matched Subspace Detection When Data are Missing [PDF]
, 2010 We consider the problem of deciding whether a highly incomplete signal lies within a given subspace. This problem, Matched Subspace Detection, is a classical, well-studied problem when the signal is completely observed. High- dimensional testing problems
Balzano, Laura +2 more
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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.
Zeng, Peng, Zhu, Yu
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Principal Fitted Components for Dimension Reduction in Regression [PDF]
, 2008 We provide a remedy for two concerns that have dogged the use of principal components in regression: (i) principal components are computed from the predictors alone and do not make apparent use of the response, and (ii) principal components are not ...
Cook, R. Dennis, Forzani, Liliana
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