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Bayesian nonparametric regression with varying residual density
Pati, Debdeep; Dunson, David - In: Annals of the Institute of Statistical Mathematics 66 (2014) 1, pp. 1-31
We consider the problem of robust Bayesian inference on the mean regression function allowing the residual density to change flexibly with predictors. The proposed class of models is based on a Gaussian process (GP) prior for the mean regression function and mixtures of Gaussians for the...
Persistent link: https://www.econbiz.de/10010759815
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Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds
Bhattacharya, Abhishek; Dunson, David - In: Annals of the Institute of Statistical Mathematics 64 (2012) 4, pp. 687-714
Persistent link: https://www.econbiz.de/10010558357
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The local Dirichlet process
Chung, Yeonseung; Dunson, David - In: Annals of the Institute of Statistical Mathematics 63 (2011) 1, pp. 59-80
Persistent link: https://www.econbiz.de/10008925561