Empirical likelihood for quantile regression
WebJun 9, 2024 · Tang CY, Leng C. Empirical likelihood and quantile regression in longitudinal data analysis. Biomerika. 2011;98:1001–6. Article Google Scholar Fu L, Wang YG. Quantile regression for longitudinal ... Webintroduce the Bayesian empirical likelihood approach for quantile regression. We begin with notation and definitions of the underlying models and moment restric-tions. Let D …
Empirical likelihood for quantile regression
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WebApr 14, 2024 · The relationship between financialization and innovation has become a common focus of academic attention. This paper analyzes the influence of corporate financialization on innovation efficiency based on balanced panel data of listed Chinese pharmaceutical companies from 2015 to 2024. Also, it examines the relationship … WebAbstract:This paper propose a direct generalization quantile regression estimation method (DGQR estimation) for quantile regression with varying-coefficient models with interval censored data, which is a direct generalization for complete observed data. ... Next One: Bayesian empirical likelihood and variable selbeection for censored linear ...
WebIn this paper, we discuss the quantile regression and variable selection of partially linear single-index model when data are missing at random, which allows the response and covariates missing simultaneously. By using iteration algorithm and local linear method, we construct the inverse probability weighted quantile estimators of both the ... WebFeb 1, 2006 · Abstract and Figures. This paper considers an empirical likelihood method to estimate the parameters of the quantile regression (QR) models and to construct …
WebOct 1, 2015 · Xi, Li, and Hu (2016) studied the Bayesian quantile regression based on the empirical likelihood with spike and slab priors. Yang, Wang, and Li (2024b,c) introduced the EL method to the nonlinear ... WebA variation of this approach is the penalized ETEL appearing in, for example, Tang and Yang (2024), in the context of quantile regression. The PETEL posterior combines the …
WebThis paper considers an empirical likelihood method to estimate the parameters of the quantile regression (QR) models and to construct con fidence regions that are …
WebFeb 9, 2006 · This paper considers an empirical likelihood method to estimate the parameters of the quantile regression (QR) models and to construct confidence regions … le bon coin chiot cocker anglaisWebApr 9, 2024 · Quantile regression provides a framework for modeling the relationship between a response variable and covariates using the quantile function. This work proposes a regression model for continuous variables bounded to the unit interval based on the unit Birnbaum–Saunders distribution as an alternative to the existing quantile … how to drive mini copter like car rustWebThis paper proposes an empirical likelihood-based weighted (ELW) quantile regression approach for estimating the conditional quantiles when some covariates are missing at random. The proposed ELW estimator is computationally simple and achieves semiparametric efficiency if the probability of missingness is correctly specified. le bon coin chiot shih tzuWebApr 1, 2011 · By appropriately smoothing the quantile score function, the empirical likelihood approach is shown to have a higher-order accuracy through the Bartlett correction. The proposed methods exhibit finite-sample advantages over the normal approximation-based and bootstrap methods in a simulation study and the analysis of a … le bon coin chien cavalier king charlesWebJul 16, 2014 · Hence, this paper provides a positive result of the composite quantile regression modeling, and extends the application literature of the empirical likelihood … le bon coin colocation cherbourgWebMay 1, 2024 · Bayesian empirical likelihood for lasso regression. The least absolute shrinkage and selection operator, introduced by Tibshirani (1996), is a regression method that involves penalizing the absolute size of the regression coefficient. It performs both variable selection and regularization. le bon coin colocation troyesWebBased on empirical likelihood method, we investigate statistical inference in partially linear single-index quantile regression with high dimensional linear and single-index parameters when the observations are missing at random, which allows the response or covariates or response and covariates simultaneously missing. leboncoin colocation cholet