The Bayesian regularized quantile varying coefficient model

F Zhou, J Ren, S Ma, C Wu - Computational Statistics & Data Analysis, 2023 - Elsevier
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …

The Bayesian regularized quantile varying coefficient model

F Zhou, J Ren, S Ma, C Wu - 2023 - dl.acm.org
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …

The Bayesian Regularized Quantile Varying Coefficient Model

F Zhou, J Ren, S Ma, C Wu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …

The Bayesian Regularized Quantile Varying Coefficient Model

F Zhou, J Ren, S Ma, C Wu - arXiv preprint arXiv:2306.11880, 2023 - arxiv.org
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …

The Bayesian regularized quantile varying coefficient model

F Zhou, J Ren, S Ma, C Wu - Computational Statistics & Data …, 2023 - ideas.repec.org
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …

The Bayesian regularized quantile varying coefficient model

F Zhou, J Ren, S Ma, C Wu - Computational Statistics & Data …, 2023 - econpapers.repec.org
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …

The Bayesian Regularized Quantile Varying Coefficient Model.

F Zhou, J Ren, S Ma, C Wu - Computational Statistics & Data …, 2023 - europepmc.org
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …

The Bayesian Regularized Quantile Varying Coefficient Model

F Zhou, J Ren, S Ma, C Wu - Computational statistics & …, 2023 - pubmed.ncbi.nlm.nih.gov
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of
regression coefficients. In addition, due to the quantile check loss function, it is robust …