Results 291 to 300 of about 24,905,387 (328)
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Robust estimation for a general functional single index model via quantile regression

Journal of the Korean Statistical Society, 2022
Hanbing Zhu   +3 more
semanticscholar   +1 more source

Missing responses at random in functional single index model for time series data

Statistical Papers, 2021
N. Ling   +3 more
semanticscholar   +1 more source

Agnostic Active Learning of Single Index Models with Linear Sample Complexity

Annual Conference Computational Learning Theory
We study active learning methods for single index models of the form $F({\mathbf x}) = f(\langle {\mathbf w}, {\mathbf x}\rangle)$, where $f:\mathbb{R} \to \mathbb{R}$ and ${\mathbf x,\mathbf w} \in \mathbb{R}^d$.
Aarshvi Gajjar   +5 more
semanticscholar   +1 more source

Estimation for the single-index models with random effects

Computational Statistics & Data Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pang, Zhen., Xue, Liugen.
openaire   +3 more sources

The k-nearest neighbors method in single index regression model for functional quasi-associated time series data

Revista Matemática Complutense, 2022
Salim Bouzebda   +2 more
semanticscholar   +1 more source

Nonlinear regression models with single‐index heteroscedasticity

Statistica Neerlandica, 2019
We consider nonlinear heteroscedastic single‐index models where the mean function is a parametric nonlinear model and the variance function depends on a single‐index structure. We develop an efficient estimation method for the parameters in the mean function by using the weighted least squares estimation, and we propose a “delete‐one‐component ...
Jun Zhang   +3 more
openaire   +2 more sources

Penalized LAD Regression for Single-index Models

Communications in Statistics - Simulation and Computation, 2014
In this article, we consider the penalized LAD regression which deals with variable selection and estimation simultaneously for single-index models. The proposed estimator is robust and efficient with respect to heavy tailed errors or outliers in the response.
Hu Yang 0001, Jing Lv, Chaohui Guo
openaire   +1 more source

The single-index hazards model

2010
We first propose the single-index hazards model for right censored survival data. As an extension of the Cox model, this model allows nonparametric modeling of covariate effects in a parsimonious way via a single-index. In addition, the relative importance of covariates can be assessed via this model.
openaire   +1 more source

Model Averaging Estimation for Varying-Coefficient Single-Index Models

Journal of Systems Science and Complexity, 2021
Yue Liu   +3 more
semanticscholar   +1 more source

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