Flexible objective Bayesian linear regression with applications in survival analysis

DOI10.1080/02664763.2016.1182138OpenAlexW3121539074MaRDI QIDQ5138580

Francisco J. Rubio, Ke-ming Yu

Publication date: 4 December 2020

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

Full work available at URL: https://arxiv.org/abs/1605.01889

zbMATH Keywords

residual lifenon-informative priortwo-piece distributionsaccelerated failure time modelpredictive

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Exact distribution theory in statistics (62E15) Estimation in survival analysis and censored data (62N02)

Related Items

Penalised t-walk MCMC, Bayesian ridge regression for survival data based on a vine copula-based prior, Loss-based approach to two-piece location-scale distributions with applications to dependent data, Flexible linear mixed models with improper priors for longitudinal and survival data, Bayesian variable selection in linear regression models with non-normal errors, Tractable Bayesian Variable Selection: Beyond Normality

Uses Software

• t-walk
• Rtwalk

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Statistical inference for a general class of asymmetric distributions
• Inference in two-piece location-scale models with Jeffreys priors
• The epsilon-skew-normal distribution for analyzing near-normal data
• Bayesian inference for shape mixtures of skewed distributions, with application to regression analysis
• A general purpose sampling algorithm for continuous distributions (the t-walk)
• Bayesian Quantile Regression for Censored Data
• Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-tDistributions
• Robust Likelihood Methods Based on the Skew-t and Related Distributions
• On Bayesian Modeling of Fat Tails and Skewness
• Linear Programming
• A new class of multivariate skew distributions with applications to bayesian regression models
• Bayesian Analysis and Model Selection for Interval‐Censored Survival Data
• Survival Analysis with Median Regression Models
• Semiparametric Bayesian Survival Analysis using Models with Log‐linear Median
• BAYESIAN REGRESSION ANALYSIS WITH SCALE MIXTURES OF NORMALS
• Survival and lifetime data analysis with a flexible class of distributions
• A generalized class of skew distributions and associated robust quantile regression models
• Objective Bayesian Survival Analysis Using Shape Mixtures of Log-Normal Distributions
• Bayesian quantile regression