Analysis of Double Single Index Models. [PDF]
Scand Stat Theory Appl, 2017 Abstract Motivated from problems in canonical correlation analysis, reduced rank regression and sufficient dimension reduction, we introduce a double dimension reduction model where a single index of the multivariate response is linked to the multivariate covariate through a single index of these covariates, hence the name double ...
Chen K, Ma Y.
europepmc +5 more sources
Statistical Inference for High-Dimensional Heteroscedastic Partially Single-Index Models [PDF]
EntropyIn this study, we propose a novel penalized empirical likelihood approach that simultaneously performs parameter estimation and variable selection in heteroscedastic partially linear single-index models with a diverging number of parameters.
Jianglin Fang, Zhikun Tian
doaj +2 more sources
SiAM: A Hybrid of Single Index Models and Additive Models. [PDF]
Electron J Stat, 2017 While popular, single index models and additive models have potential limitations, a fact that leads us to propose SiAM, a novel hybrid combination of these two models. We first address model identifiability under general assumptions. The result is of independent interest.
Ma S, Lian H, Liang H, Carroll RJ.
europepmc +4 more sources
Optimal Smoothing in Single-Index Models
Annals of Statistics, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wolfgang Karl Härdle +1 more
exaly +3 more sources
Simplification of a Three-Constant Intraocular Lens Calculation Formula to a Single-Constant Approach: The Haigis Formula [PDF]
DiagnosticsBackground/Objectives: To derive and validate a simplified modification of the Haigis intraocular lens (IOL) power calculation formula by reducing the three-constant effective lens position (ELP) model to a single constant while introducing an optimized ...
Achim Langenbucher +6 more
doaj +2 more sources
Estimation for single-index and partially linear single-index integrated models
Annals of Statistics, 2016 Published at http://dx.doi.org/10.1214/15-AOS1372 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Chaohua Dong +2 more
exaly +4 more sources
Large-scale multi-omics enhance risk prediction for type 2 diabetes [PDF]
Cardiovascular DiabetologyBackground Polygenic risk scores (PRS), metabolomics, and proteomics have each shown promise in improving type 2 diabetes risk prediction, but their combined utility beyond established clinical models remains unclear.
Ruijie Xie +2 more
doaj +2 more sources
A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional study [PDF]
Insights into ImagingObjectives Precise perioperative risk stratification for upper tract urothelial carcinoma (UTUC) is essential. We developed a multimodal prognostic model integrating perioperative clinical data, radiomics, and deep learning (DL) features from baseline CT
Xiang Peng +10 more
doaj +2 more sources
Distributional (Single) Index Models [PDF]
Journal of the American Statistical Association, 2021 A Distributional (Single) Index Model (DIM) is a semi-parametric model for distributional regression, that is, estimation of conditional distributions given covariates. The method is a combination of classical single index models for the estimation of the conditional mean of a response given covariates, and isotonic distributional regression. The model
Henzi, Alexander +2 more
openaire +2 more sources
Variable selection in monotone single-index models via the adaptive LASSO. [PDF]
Stat Med, 2013 Foster JC, Taylor JM, Nan B.
europepmc +2 more sources