Sparse Semi-Functional Partial Linear Single-Index Regression
نویسندگان
چکیده
منابع مشابه
Functional Partial Linear Regression
When predicting scalar responses in the situation where the explanatory variables are functions, it is sometimes the case that some functional variables are related to responses linearly while other variables have more complicated relationships with the responses. In this paper, we propose a new semi-parametric model to take advantage of both parametric and nonparametric functional modeling. As...
متن کاملRobust Estimation in Linear Regression with Molticollinearity and Sparse Models
One of the factors affecting the statistical analysis of the data is the presence of outliers. The methods which are not affected by the outliers are called robust methods. Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers. Besides outliers, the linear dependency of regressor variables, which is called multicollinearity...
متن کاملSemi-parametric difference-based estimation of partial linear regression models
This article describes the plreg Stata command, which implements the difference-based algorithm for estimating the partial linear regression models.
متن کاملSemi-parametric single-index two-part regression models
In this paper, we proposed a semi-parametric single-index two-part regression model to weaken assumptions in parametric regression methods that were frequently used in the analysis of skewed data with additional zero values. The estimation procedure for the parameters of interest in the model was easily implemented. The proposed estimators were shown to be consistent and asymptotically normal. ...
متن کاملQuantile regression and variable selection of partial linear single-index model
Partial linear single-indexmodel (PLSIM) is a flexible and applicablemodel when investigating the underlying relationship between the response and the multivariate covariates. Most previous studies on PLSIM concentrated on mean regression, based on least square or likelihood approach. In contrast to this method, in this paper, we proposeminimizing average check loss estimation (MACLE) procedure...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings
سال: 2018
ISSN: 2504-3900
DOI: 10.3390/proceedings2181190