Generalized Gaussian process models with Bayesian variable selection
This research proposes a unified Gaussian process modeling approach that extends to data from the exponential dispersion family and survival data. Our specific interest is in the analysis of datasets with predictors possessing an a priori unknown form of possibly non-linear associations to the respo...
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| Format: | Others |
| Language: | English |
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2011
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| Online Access: | http://hdl.handle.net/1911/62083 |