Bayesian nonparametric regression with varying residual density

Debdeep Pati; David B. Dunson

doi:10.1007/s10463-013-0415-z

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Bayesian nonparametric regression with varying residual density

Debdeep Pati David B. Dunson

Year: 2013 Journal: Annals of the Institute of Statistical Mathematics Vol: 66 (1)Pages: 1-31 Publisher: Springer Science+Business Media

DOI: 10.1007/s10463-013-0415-z

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Keywords:

Prior probability Mathematics Residual Outlier Gibbs sampling Gaussian process Statistics Density estimation Bayesian probability Robust regression Regression Nonparametric regression Gaussian Algorithm Estimator

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Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian nonparametric regression with varying residual density

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