Bayesian Modeling of Conditional Densities
This thesis develops models and associated Bayesian inference methods for flexible univariate and multivariate conditional density estimation. The models are flexible in the sense that they can capture widely differing shapes of the data. The estimation methods are specifically designed to achieve f...
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| Format: | Doctoral Thesis |
| Language: | English |
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Stockholms universitet, Statistiska institutionen
2013
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-89426 http://nbn-resolving.de/urn:isbn:978-91-7447-665-1 |