Results 251 to 260 of about 4,177,887 (294)
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Biometrika, 2001
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Naik, Prasad A., Tsai, Chih-Ling
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Naik, Prasad A., Tsai, Chih-Ling
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Least squares estimation in the monotone single index model
Bernoulli, 2016We 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
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Functional single-index quantile regression models
Statistics and Computing, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peijun Sang, Jiguo Cao
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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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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, 2022Hanbing Zhu +3 more
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Missing responses at random in functional single index model for time series data
Statistical Papers, 2021N. Ling +3 more
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Estimation for the single-index models with random effects
Computational Statistics & Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pang, Zhen., Xue, Liugen.
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Agnostic Active Learning of Single Index Models with Linear Sample Complexity
Annual Conference Computational Learning TheoryWe 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
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Nonlinear regression models with single‐index heteroscedasticity
Statistica Neerlandica, 2019We 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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