Function-on-scalar quantile regression with application to mass spectrometry proteomics data
DOI10.1214/19-AOAS1319zbMath1446.62355arXiv1809.00266MaRDI QIDQ2194443
Jeffrey S. Morris, Meng Li, Yusha Liu
Publication date: 26 August 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1809.00266
quantile regressionBayesian hierarchical modelfunctional data analysisglobal-local shrinkagefunctional response regressionproteomic biomarker
Nonparametric regression and quantile regression (62G08) Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (4)
Uses Software
Cites Work
- Unnamed Item
- Statistical methods for proteomic biomarker discovery based on feature extraction or functional modeling approaches
- Bayesian empirical likelihood for quantile regression
- Bayesian inference for additive mixed quantile regression models
- The horseshoe estimator: posterior concentration around nearly black vectors
- Bayesian quantile regression based on the empirical likelihood with spike and slab priors
- Estimation in functional linear quantile regression
- Functional linear regression that's interpretable
- A sandwich likelihood correction for Bayesian quantile regression based on the misspecified asymmetric Laplace density
- Quantile regression with varying coefficients
- Quantile regression in partially linear varying coefficient models
- Spatial quantile multiple regression using the asymmetric Laplace process
- Bayesian function-on-function regression for multilevel functional data
- Wavelet-based Functional Mixed Models
- Quantile regression for longitudinal data using the asymmetric Laplace distribution
- Bayesian Analysis of Mass Spectrometry Proteomic Data Using Wavelet-Based Functional Mixed Models
- The horseshoe estimator for sparse signals
- Regression Quantiles
- Conditional Quantile Analysis When Covariates are Functions, with Application to Growth Data
- The functional linear array model
- Calibrating general posterior credible regions
- Comparison and contrast of two general functional regression modelling frameworks
- Dirichlet–Laplace Priors for Optimal Shrinkage
- Nonparametric Quantile Estimations for Dynamic Smooth Coefficient Models
- Quantile regression when the covariates are functions
- Bayesian quantile regression
- Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
This page was built for publication: Function-on-scalar quantile regression with application to mass spectrometry proteomics data