Results 31 to 40 of about 5,211,856 (273)
Dimension estimation in sufficient dimension reduction: A unifying approach
Journal of Multivariate Analysis, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Efstathia Bura, Jiao Yang
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Patient perceived quality of nursing care in hemodialysis: A meta-synthesis
Healthcare in Low-resource Settings, 2021 This study was done with the purpose of clarifying the concept of patient perceived quality of nursing care in hemodialysis. In this meta-synthesis study, qualitative studies was searched in the four interntional databases from January 1st, 2000 to ...
Abbas Balouchi +3 more
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Transformed sufficient dimension reduction [PDF]
Biometrika, 2014 A novel general framework is proposed in this paper for dimension reduction in regression to fill the gap between linear and fully nonlinear dimension reduction. The main idea is to transform first each of the raw predictors monotonically, and then search for a low-dimensional projection in the space defined by the transformed variables.
T. Wang, X. Guo, L. Zhu, P. Xu
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Lattice Attacks on NTRU Revisited
IEEE Access, 2021 NTRU cryptosystem was proposed by J. Hoffstein, J.Pipher and J.H. Silverman in 1996, whose security is related to the hardness of finding sufficient short vectors in NTRU lattice with dimension $2N$ .
Jingguo Bi, Lidong Han
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Forecasting with Sufficient Dimension Reductions [PDF]
Finance and Economics Discussion Series, 2015 Factor models have been successfully employed in summarizing large datasets with few underlying latent factors and in building time series forecasting models for economic variables. When the objective is to forecast a target variable y with a large set of predictors x, the construction of the summary of the xs should be driven by how informative on y ...
Alessandro Barbarino, Efstathia Bura
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Fusing Sufficient Dimension Reduction with Neural Networks
, 2021 We consider the regression problem where the dependence of the response Y on a set of predictors X is fully captured by the regression function E(Y | X) = g(B'X), for an unknown function g and low rank parameter B matrix.
Kapla, Daniel Benjamin
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Bayesian Model Averaging Sufficient Dimension Reduction [PDF]
, 2020 In sufficient dimension reduction (Li, 1991; Cook, 1998b), original predictors are replaced by their low-dimensional linear combinations while preserving all of the conditional information of the response given the predictors.
Power, Michael Declan
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Quantile treatment effect estimation with dimension reduction
Statistical Theory and Related Fields, 2020 Quantile treatment effects can be important causal estimands in evaluation of biomedical treatments or interventions for health outcomes such as medical cost and utilisation.
Ying Zhang +3 more
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Energy Reports, 2021 One of the best options for managing energy markets and power system performance optimization is precise Electricity Price Forecasting (EPF). In detecting the prices of energy, some factors are of stochastic behavior which has made an unwieldy task.
Liangping Sun +3 more
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MULTI-FREQUENCY POLINSAR DATA ARE ADVANTAGEOUS FOR LAND COVER CLASSIFICATION – A VISUAL AND QUANTITATIVE ANALYSIS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 This paper investigates the enhanced potential of using multi-frequency PolInSAR data for land cover classification. In order to enable a descriptive analysis that goes beyond the mere comparison of classification accuracies, a two-step classification ...
S. Schmitz +4 more
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