Results 21 to 30 of about 2,771,485 (258)
Sliced Inverse Regression: application to fundamental stellar parameters
Open 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
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Tensor sliced inverse regression
Journal of Multivariate Analysis, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shanshan Ding, R. Dennis Cook
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On the optimality of sliced inverse regression in high dimensions [PDF]
The Annals of Statistics, 2021 The central subspace of a pair of random variables $(y,x) \in \mathbb{R}^{p+1}$ is the minimal subspace $\mathcal{S}$ such that $y \perp \hspace{-2mm} \perp x\mid P_{\mathcal{S}}x$. In this paper, we consider the minimax rate of estimating the central space of the multiple index models $y=f(β_{1}^τx,β_{2}^τx,...,β_{d}^τx,ε)$ with at most $s$ active ...
Lin, Qian +3 more
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Entropy-based sliced inverse regression [PDF]
Computational Statistics & Data Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hideitsu Hino +2 more
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Gaussian Regularized Sliced Inverse Regression [PDF]
Statistics and Computing, 2008 26 pages, 16 ...
Caroline Bernard-Michel +2 more
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Penalized single-index quantile regression [PDF]
, 2013 This article is made available through the Brunel Open Access Publishing Fund. Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
Yu, K
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Sliced inverse regression in reference curves estimation [PDF]
Computational Statistics & Data Analysis, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gannoun, Ali +3 more
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Overlapping sliced inverse regression for dimension reduction [PDF]
Analysis and Applications, 2019 Sliced inverse regression (SIR) is a pioneer tool for supervised dimension reduction. It identifies the effective dimension reduction space, the subspace of significant factors with intrinsic lower dimensionality. In this paper, we propose to refine the SIR algorithm through an overlapping slicing scheme. The new algorithm, called overlapping SIR (OSIR)
Ning Zhang 0013, Zhou Yu, Qiang Wu 0003
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Technical Note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data [PDF]
Atmospheric 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
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Quantitative Evaluation of Defect Based on Ultrasonic Guided Wave and CHMM
MATEC 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
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