Thesis
Bayesian nonparametric methods for non-exchangeable random structures
- Abstract:
-
Bayesian Statistics has been increasingly popular in the last five decades. Besides having decision theoretic foundation, the Bayesian approach found popularity thanks to the simple and intuitive framework that it offers to model phenomena, allowing the statistician to include prior knowledge in the inference procedure. Each unknown quantity in the model is endowed with a prior distribution which encodes our prior belief, and Bayes' rule functions as a probabilistic tool to update the prio...
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Authors
Contributors
+ Caron, F
- Role:
- Supervisor
- ORCID:
- 0000-0002-3952-224X
+ Teh, Y
- Role:
- Supervisor
+ Rousseau, J
- Role:
- Supervisor
- ORCID:
- 0000-0002-0998-6174
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100000266
- Grant:
- EP/L016710/1
- Programme:
- OxWaSP
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2022-01-30
Terms of use
- Copyright holder:
- Di Benedetto, G
- Copyright date:
- 2020
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