Results 21 to 30 of about 11,532 (157)

Sliced Inverse Regression: application to fundamental stellar parameters

open access: yesOpen Astronomy, 2019
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
doaj   +1 more source

Inverse regression for longitudinal data [PDF]

open access: yes, 2015
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
core   +1 more source

Gaussian Regularized Sliced Inverse Regression [PDF]

open access: yesStatistics and Computing, 2008
26 pages, 16 ...
Bernard-Michel, Caroline   +2 more
openaire   +4 more sources

Tensor sliced inverse regression

open access: yesJournal of Multivariate Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shanshan Ding, R. Dennis Cook
openaire   +1 more source

Contour regression: A general approach to dimension reduction [PDF]

open access: yes, 2005
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
core   +1 more source

Graph informed sliced inverse regression

open access: yesComputational Statistics & Data Analysis, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eugen Pircalabelu, Andreas Artemiou
openaire   +2 more sources

Technical Note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data [PDF]

open access: yesAtmospheric Chemistry and Physics, 2009
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
doaj  

Quantitative Evaluation of Defect Based on Ultrasonic Guided Wave and CHMM

open access: yesMATEC Web of Conferences, 2016
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
doaj   +1 more source

Sparse Sliced Inverse Quantile Regression [PDF]

open access: yesJournal of Mathematics and Statistics, 2016
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
openaire   +1 more source

A method for analyzing censored survival phenotype with gene expression data

open access: yesBMC Bioinformatics, 2008
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
doaj   +1 more source

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