Quantile Function on Scalar Regression Analysis for Distributional Data

DOI10.1080/01621459.2019.1609969zbMath1437.62159OpenAlexW2936806250WikidataQ100298171 ScholiaQ100298171MaRDI QIDQ3304837

Hojin Yang, Jeffrey S. Morris, Arvind Rao, Veerabhadran Baladandayuthapani

Publication date: 3 August 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517594

zbMATH Keywords

Markov chain Monte Carloprobability density functionbasis functionsBayesian modelingfunctional regressionimaging genetics

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Nonparametric regression and quantile regression (62G08) Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (9)

Function-on-function partial quantile regression ⋮ Spike-and-slab type variable selection in the Cox proportional hazards model for high-dimensional features ⋮ Ultra-Fast Approximate Inference Using Variational Functional Mixed Models ⋮ Functional Response Quantile Regression Model ⋮ Gaussian copula function-on-scalar regression in reproducing kernel Hilbert space ⋮ Wasserstein autoregressive models for density time series ⋮ RADIOHEAD: radiogenomic analysis incorporating tumor heterogeneity in imaging through densities ⋮ Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data ⋮ Shape-constrained estimation in functional regression with Bernstein polynomials

Uses Software

• fda (R)
• SemiPar
• FDboost

Cites Work

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• Asymptotics for panel quantile regression models with individual effects
• Estimation in functional linear quantile regression
• Some asymptotic theory for the bootstrap
• Quantile regression for longitudinal data
• Functional regression via variational Bayes
• Functional data analysis.
• Quantile probability and statistical data modeling
• Bayesian function-on-function regression for multilevel functional data
• Functional Mixed Effects Models
• Robust, Adaptive Functional Regression in Functional Mixed Model Framework
• Quantile regression for spatially correlated data: an empirical likelihood approach
• Wavelet-based Functional Mixed Models
• Bayesian dynamic modeling of latent trait distributions
• Bayesian curve fitting using multivariate normal mixtures
• Regression Analysis for a Functional Response
• Semiparametric Regression
• Conditional Quantile Analysis When Covariates are Functions, with Application to Growth Data
• Robust Classification of Functional and Quantitative Image Data Using Functional Mixed Models
• The functional linear array model
• Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data
• Bayesian Spatial Quantile Regression
• Bayesian Density Regression
• Prescribing a System of Random Variables by Conditional Distributions
• Quantile regression when the covariates are functions
• Order-Based Dependent Dirichlet Processes

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