The following pages link to (Q3145539):
Displaying 50 items.
- Weighted composite quantile regression for single-index models (Q276965) (← links)
- Estimation of linear composite quantile regression using EM algorithm (Q310670) (← links)
- Robust reduced-rank modeling via rank regression (Q338394) (← links)
- SCAD penalized rank regression with a diverging number of parameters (Q476249) (← links)
- Penalized weighted composite quantile regression in the linear regression model with heavy-tailed autocorrelated errors (Q488598) (← links)
- Penalized regression across multiple quantiles under random censoring (Q746873) (← links)
- Robust direction identification and variable selection in high dimensional general single-index models (Q892888) (← links)
- Interquantile shrinkage and variable selection in quantile regression (Q1615197) (← links)
- Robust and efficient estimation with weighted composite quantile regression (Q1619607) (← links)
- Robust empirical likelihood for partially linear models via weighted composite quantile regression (Q1643001) (← links)
- Two-layer EM algorithm for ALD mixture regression models: a new solution to composite quantile regression (Q1658381) (← links)
- Composite quantile regression for correlated data (Q1658431) (← links)
- Bayesian model selection in ordinal quantile regression (Q1658985) (← links)
- Robust variable selection of joint frailty model for panel count data (Q1661331) (← links)
- Semiparametric quantile estimation for varying coefficient partially linear measurement errors models (Q1668053) (← links)
- Robust variable selection in high-dimensional varying coefficient models based on weighted composite quantile regression (Q1685286) (← links)
- An effective method to reduce the computational complexity of composite quantile regression (Q1695421) (← links)
- Linear double autoregression (Q1792485) (← links)
- Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models (Q2010462) (← links)
- An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR (Q2013645) (← links)
- Copula and composite quantile regression-based estimating equations for longitudinal data (Q2042520) (← links)
- Robust and efficient estimating equations for longitudinal data partial linear models and its applications (Q2062374) (← links)
- Optimal subsampling for composite quantile regression in big data (Q2093142) (← links)
- Robust estimation of semiparametric transformation model for panel count data (Q2121176) (← links)
- Robust estimation for partial functional linear regression models based on FPCA and weighted composite quantile regression (Q2134998) (← links)
- Multi-round smoothed composite quantile regression for distributed data (Q2164793) (← links)
- Pseudo-quantile functional data clustering (Q2181734) (← links)
- An improvement on the efficiency of complete-case-analysis with nonignorable missing covariate data (Q2228216) (← links)
- Robust communication-efficient distributed composite quantile regression and variable selection for massive data (Q2242035) (← links)
- Composite quantile estimation in partial functional linear regression model based on polynomial spline (Q2244676) (← links)
- Bayesian bridge-randomized penalized quantile regression (Q2291307) (← links)
- Composite quantile estimation in partial functional linear regression model with dependent errors (Q2312031) (← links)
- Composite versus model-averaged quantile regression (Q2317267) (← links)
- Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging (Q2324328) (← links)
- Robust check loss-based inference of semiparametric models and its application in environmental data (Q2332669) (← links)
- Empirical likelihood for composite quantile regression modeling (Q2346499) (← links)
- Composite change point estimation for bent line quantile regression (Q2397049) (← links)
- Robust and efficient direction identification for groupwise additive multiple-index models and its applications (Q2398077) (← links)
- Robust variable selection for nonlinear models with diverging number of parameters (Q2454000) (← links)
- Composite quantile regression for massive datasets (Q4580023) (← links)
- Adaptive composite quantile regressions and their asymptotic relative efficiency (Q4960583) (← links)
- Efficient estimation of panel count data with dependent observation process (Q5033936) (← links)
- General composite quantile regression: Theory and methods (Q5077417) (← links)
- B-spline estimation for partially linear varying coefficient composite quantile regression models (Q5077901) (← links)
- Gaussian copula based composite quantile regression in semivarying models with longitudinal data (Q5079845) (← links)
- Weighted composite quantile regression for partially linear varying coefficient models (Q5154052) (← links)
- Weighted composite quantile regression method via empirical likelihood for non linear models (Q5154077) (← links)
- A note on the efficiency of composite quantile regression (Q5222410) (← links)
- Local weighted composite quantile estimation and smoothing parameter selection for nonparametric derivative function (Q5860966) (← links)
- Doubly robust weighted composite quantile regression based on SCAD‐<i>L</i><sub>2</sub> (Q6059430) (← links)
