Thesis
Power-law phenomena in Bayesian nonparametrics
- Abstract:
-
Bayesian methods constitute a popular approach to perform statistical inference and predict phenomena of interest. Surely, part of the popularity of the Bayesian paradigm can be linked to their intuitive core idea: to take advantage of the user's prior knowledge and integrate it in the statistical procedure. The result of this synergy is the posterior distribution, focal point of Bayesian inference and instrument to quantify the uncertainty of the estimation. This thesis collects the work ...
Expand abstract
Actions
Authors
Contributors
+ Caron, F
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Supervisor
ORCID:
0000-0002-3952-224X
+ Rousseau, J
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Supervisor
ORCID:
0000-0002-0998-6174
+ Lambiotte, R
Role:
Examiner
ORCID:
0000-0002-0583-4595
+ Williamson, S
Role:
Examiner
Funding
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- Deposit date:
- 2022-09-07
Related Items
Terms of use
- Copyright holder:
- Panero, F
- Copyright date:
- 2022
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record