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Single-index model selections

Biometrika, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Naik, Prasad A., Tsai, Chih-Ling
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Least squares estimation in the monotone single index model

Bernoulli, 2016
We study the monotone single index model where a real response variable $Y $ is linked to a $d$-dimensional covariate $X$ through the relationship $E[Y | X] = \Psi_0(\alpha^T_0 X)$ almost surely. Both the ridge function, $\Psi_0$, and the index parameter,
Fadoua Balabdaoui   +2 more
semanticscholar   +1 more source

Functional single-index quantile regression models

Statistics and Computing, 2020
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Peijun Sang, Jiguo Cao
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Single-Index Models

1998
One of the most important tasks of applied econometrics and statistics is estimating a conditional mean function. For example, one may want to estimate the mean annual earnings of workers in a certain population as a function of observable characteristics such as level of education and experience in the workforce.
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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

Estimation for the single-index models with random effects

Computational Statistics & Data Analysis, 2012
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Pang, Zhen., Xue, Liugen.
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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

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
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