Results 41 to 50 of about 2,991,648 (129)
Abstracts submitted to the ‘EACR 2026 Congress: Innovative Cancer Science’, from 08–11 June 2026 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley +1 more source
Estimation récursive en régression inverse par tranche (sliced inverse regression) [PDF]
International audienceDans cette communication, nous nous intéressons à la méthode SIR (Sliced Inverse Regression, que l'on peut traduire par régression inverse par tranches) qui permet d'estimer le paramètre $\theta$ dans un modèle semi-paramétrique de ...
Saracco, Jérôme, Nguyen, Thi Mong Ngoc
core +1 more source
Abstracts of 14th International Symposium on Hodgkin Lymphoma
HemaSphere, Volume 10, Issue S2, October 2026.
wiley +1 more source
The presented work deals with Sliced inverse regression method for dimension reduction of explanatory variable in case of multivariate data sets. The aim of this work is to present this method, its characteristics and assumptions and ways of determining ...
Rusnáková, Viktória
core
A Note On Shrinkage Sliced Inverse Regression
We employ Lasso shrinkage within the context of sufficient dimension reduction to obtain a shrinkage sliced inverse regression estimator, which provides easier interpretations and better prediction accuracy without assuming a parametric model.
Ni, Liqiang +2 more
core +3 more sources
Iterative Sliced Inverse Regression for Segmentation of Ultrasound and MR Images
In this study, we propose an integrated approach based on iterative sliced inverse regression (ISIR) for the segmentation of ultrasound and magnetic resonance (MR) images. The approach integrates two stages. The first is the unsupervised clustering which
吳漢銘; Lu, H. H.-S
core +1 more source
A review on Sliced Inverse Regression
In this paper, we consider a semiparametric regression model involving a $p$-dimensional explanatory variable ${\mathbf{x}}$ and including a dimension reduction of ${\mathbf{x}}$ via an index $B'{\mathbf{x}}$. In this model, the main goal is to estimate $
Li, Kevin, B.
core
Projection expectile regression for sufficient dimension reduction. [PDF]
Soale AN.
europepmc +1 more source
88th Annual Meeting of the Meteoritical Society 2026: Abstracts
Meteoritics &Planetary Science, Volume 61, Issue S1, Page S48-S551, August 2026.
wiley +1 more source
Plenary Abstracts Session & Oral Presentations
HemaSphere, Volume 10, Issue S1, June 2026.
wiley +1 more source

