Oct 18, 2022 · Abstract. The purpose of this paper is two fold. First, the authors investigate quantile regression (QR) estimation for single-index QR models ...
The purpose of this paper is two fold. First, the authors investigate quantile regression (QR) estimation for single-index QR models when the response is ...
Jun 7, 2021 · First, the authors investigate quantile regression. (QR) estimation for single-index QR models when the response is subject to random left ...
The purpose of this paper is two fold. First, the authors investigate quantile regression (QR) estimation for single-index QR models when the response is ...
The purpose of this paper is two fold. First, the authors investigate quantile regression (QR) estimation for single-index QR models when the.
Linear and nonlinear QR models have been studied extensively, while recent research focuses on the single index quantile regression (SIQR) model. ... truncation ...
Estimation in the linear regression model is considered for the left truncated data, in which observations of the dependent variable Y are interfered by ...
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May 10, 2023 · We develop a Bayesian analysis for the composite quantile single-index regression model. The posterior distributions for the unknown parameters are derived.
The package provides functions that allow users to fit SIQR models, predict, provide standard errors of the single-index coefficients via bootstrap, and ...
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Dec 11, 2023 · The primary goal of this research was to estimate the quantile of a conditional distribution using a semi-parametric approach in the ...