Approximate Bayesian inference for quantiles

DOI10.1080/10485250500039049zbMath1061.62051OpenAlexW1985515434MaRDI QIDQ4675906

Jack A. Taylor, David B. Dunson

Publication date: 6 May 2005

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250500039049

zbMATH Keywords

quantile regressionprior elicitationorder constraintsmedian regressioncomet assaysingle-cell electrophoresissubstitution likelihoodgenotoxicity

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Bayesian inference (62F15)

Related Items

On Bayesian quantile regression using a pseudo-joint asymmetric Laplace likelihood, Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression, Bayesian quantile regression using random B-spline series prior, Bayesian non-parametric simultaneous quantile regression for complete and grid data, Bayesian empirical likelihood estimation of quantile structural equation models, Bayesian inference in quantile functions, Power prior elicitation in Bayesian quantile regression, Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood, Nonparametric inference on smoothed quantile regression process, Nonparametric Bayes Testing of Changes in a Response Distribution with an Ordinal Predictor, Bayesian multiple quantile regression for linear models using a score likelihood, Bayesian empirical likelihood for quantile regression, Bayesian inference for additive mixed quantile regression models, Discussion, Estimating the health impact of climate change with calibrated climate model output, Quantile regression for binary performance indicators, Bayesian Semiparametric Modelling in Quantile Regression, Nonparametric quantile estimation using importance sampling, Unnamed Item, Bayesian nonparametric quantile regression using splines, Bayesian Lasso binary quantile regression, Bayesian quantile regression for longitudinal data models, Calibration of numerical model output using nonparametric spatial density functions, Bayesian model robustness via disparities, Quantile pyramids for Bayesian nonparametrics, A Quantile Survival Model for Censored Data, Conjugate priors and variable selection for Bayesian quantile regression, Nonparametric Bayesian modelling using skewed Dirichlet processes, Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures, Bayesian semiparametric additive quantile regression, Bayesian \(R\)-estimates in two-sample location models, Unnamed Item, Bayesian Quantile Regression for Censored Data, Bayesian quantile regression with approximate likelihood

Cites Work

• Unnamed Item
• Unnamed Item
• Weak convergence and optimal scaling of random walk Metropolis algorithms
• An MCMC approach to classical estimation.
• Monte Carlo methods in Bayesian computation
• Proper likelihoods for Bayesian analysis
• Bayesian Nonparametric Inference for Random Distributions and Related Functions
• Bayesian empirical likelihood
• Bayesian Semiparametric Median Regression Modeling
• Modeling Regression Error With a Mixture of Polya Trees
• A Bayesian Semiparametric Accelerated Failure Time Model
• Bayesian Semiparametric Regression for Median Residual Life
• On an approximate likelihood for quantiles
• Monte Carlo sampling methods using Markov chains and their applications
• Bayesian quantile regression