Bayesian Semiparametric Modelling in Quantile Regression
From MaRDI portal
Publication:3552979
DOI10.1111/j.1467-9469.2008.00626.xzbMath1190.62053OpenAlexW2088493922MaRDI QIDQ3552979
Milovan Krnjajić, Athanasios Kottas
Publication date: 22 April 2010
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9469.2008.00626.x
Density estimation (62G07) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)
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Cites Work
- Unnamed Item
- Unnamed Item
- Bayes methods for a symmetric unimodal density and its mode
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Bayesian nonparametric methods for data from a unimodal density
- Ferguson distributions via Polya urn schemes
- A nonparametric Bayes method for isotonic regression
- A Bayesian analysis of some nonparametric problems
- Bayesian linear regression with error terms that have symmetric unimod al densities
- A semiparametric Bayesian model for randomised block designs
- Bayesian curve fitting using multivariate normal mixtures
- Model choice: a minimum posterior predictive loss approach
- Reappraising Medfly Longevity
- Bayesian Semiparametric Median Regression Modeling
- Nonparametric Bayes inference for concave distribution functions
- Censored Median Regression Using Weighted Empirical Survival and Hazard Functions
- Bayesian Clustering and Product Partition Models
- A Bayesian Semiparametric Accelerated Failure Time Model
- Approximate Bayesian inference for quantiles
- Bayesian Semiparametric Regression for Median Residual Life
- Survival Analysis with Median Regression Models
- Bayesian Density Estimation and Inference Using Mixtures
- An ANOVA Model for Dependent Random Measures
- Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
- Bayesian survival analysis
