Thesis
Algorithms and modelling for large-scale Bayesian data analysis
- Abstract:
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Bayesian statistics has emerged as a leading paradigm for the analysis of complicated datasets and for reasoning and making predictions under uncertainty. However, the framework faces significant difficulties when it is applied at scale. As datasets grow larger, simulation-based approaches to inference become unviably expensive. As models become more complex, the naïve application of traditional inference methods does not always produce valid predictions. And as Bayesian methods are applie...
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Authors
Contributors
+ Deligiannidis, G
Role:
Supervisor
+ Hongseok, Y
Role:
Supervisor
+ Doucet, A
Role:
Supervisor
+ Wood, F
Role:
Supervisor
+ Robert, C
Role:
Examiner
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Funding
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- Deposit date:
- 2021-02-14
Related Items
Terms of use
- Copyright holder:
- Cornish, JRM
- Copyright date:
- 2019
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