1-Prior elicitation for mixed quantile regression with an allometric model.
2Inference with three-level prior distributions in quantile regression problems
3 Bayesian analysis of composite quantile regression
4 Bayesian analysis of composite quantile regression
5 Bayesian model selection in ordinal quantile regression
6 Bayesian elastic net single index quantile regression
7 Statistical methods for body mass index: A selective review
8 Gravitational lensing by f(R,T) gravity
9 Circular orbits in modified gravity
10 Quantile regression with group Lasso for classification
11 Model selection in quantile regression models
12Bayesian Tobit quantile regression using g-prior distribution with ridge parameter
13 Bayesian elastic net Tobit quantile regression
14 Comment on Article by Spokoiny, Wang and Hardle
15 Conjugate priors and variable selection for Bayesian quantile regression
16 Bayesian Lasso Binary Quantile regression
17 Tobit Quantile Regression with the adaptive Lasso
18 Bayesian Lasso mixed quantile regression
19 Penalized Flexible Bayesian Quantile Regression
20 Bayesian adaptive Lasso quantile regression
21 Variable selection in quantile regression via Gibbs sampling
22 Prior Elicitation in Bayesian Quantile Regression for Longitudinal Data
23 Power Prior Elicitation in Bayesian Quantile Regression
24Prior Elicitation and Variable Selection for Bayesian Quantile Regression
25Gravitational lensing in the strong field limit by modified gravity On f(R) gravity
26Extensions of GR using Projective-Invariance
27 The asymptotic behavior of acceleration in f(R) gravity theories with non-minimal coupling
28Brq: Bayesian Analysis of Quantile Regression Models
29bayesQR: Bayesian Quantile Regression Advanced Tensor Analysis
30 Bayesian tobit quantile regression with penalty
31 Inference with three-level prior distributions in quantile regression problems
32 The Bayesian elastic net regression
33 Bayesian quantile regression for ordinal longitudinal data
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