Results 21 to 30 of about 11,532 (157)
Sliced Inverse Regression: application to fundamental stellar parameters
We present a method for deriving the stellar fundamental parameters. It is based on a regularized sliced inverse regression (RSIR).We first tested it on noisy synthetic spectra of A, F, G, and K-type stars, and inverted simultaneously their atmospheric ...
Kassounian Sarkis +3 more
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Inverse regression for longitudinal data [PDF]
Sliced inverse regression (Duan and Li [Ann. Statist. 19 (1991) 505-530], Li [J. Amer. Statist. Assoc. 86 (1991) 316-342]) is an appealing dimension reduction method for regression models with multivariate covariates.
Jiang, Ci-Ren, Wang, Jane-Ling, Yu, Wei
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Gaussian Regularized Sliced Inverse Regression [PDF]
26 pages, 16 ...
Bernard-Michel, Caroline +2 more
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Tensor sliced inverse regression
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shanshan Ding, R. Dennis Cook
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Contour regression: A general approach to dimension reduction [PDF]
We propose a novel approach to sufficient dimension reduction in regression, based on estimating contour directions of small variation in the response. These directions span the orthogonal complement of the minimal space relevant for the regression and ...
Chiaromonte, Francesca +2 more
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Graph informed sliced inverse regression
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eugen Pircalabelu, Andreas Artemiou
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Technical Note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data [PDF]
A retrieval algorithm that uses a statistical strategy based on dimension reduction is proposed. The methodology and details of the implementation of the new algorithm are presented and discussed. The algorithm has been applied to high resolution spectra
I. De Feis +5 more
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Quantitative Evaluation of Defect Based on Ultrasonic Guided Wave and CHMM
The axial length of pipe defects is not linear with the reflection coefficient, which is difficult to identify the axial length of the defect by the reflection coefficient method.
Chen Le +4 more
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Sparse Sliced Inverse Quantile Regression [PDF]
The current paper proposes the sliced inverse quantile regression method (SIQR). In addition to the latter this study proposes both the sparse sliced inverse quantile regression method with Lasso (LSIQR) and Adaptive Lasso (ALSIQR) penalties. This article introduces a comprehensive study of SIQR and sparse SIQR.
Ali Alkenani, Tahir R. Dikheel
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A method for analyzing censored survival phenotype with gene expression data
Background Survival time is an important clinical trait for many disease studies. Previous works have shown certain relationship between patients' gene expression profiles and survival time.
Chen Chun-Houh +4 more
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