Thesis
Flexible estimation of temporal point processes and graphs
- Abstract:
-
Handling complex data types with spatial structures, temporal dependencies, or discrete values, is generally a challenge in statistics and machine learning. In the recent years, there has been an increasing need of methodological and theoretical work to analyse non-standard data types, for instance, data collected on protein structures, genes interactions, social networks or physical sensors. In this thesis, I will propose a methodology and provide theoretical guarantees for analysing two ...
Expand abstract
Actions
Authors
Contributors
+ Rousseau, J
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Statistics
- Role:
- Supervisor
- ORCID:
- 0000-0002-0998-6174
+ Cucuringu, M
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Statistics
- Role:
- Supervisor
- ORCID:
- 0000-0002-8464-2152
+ Dong, X
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Engineering Science
- Role:
- Supervisor
- ORCID:
- 0000-0002-1143-9786
+ Engineering and Physical Sciences Research Council
More from this funder
- Grant:
- EP/L016710/1
- Programme:
- Center for Doctoral Training in Statistical Sciences (OxWaSP)
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2023-06-18
Terms of use
- Copyright holder:
- Sulem, D
- Copyright date:
- 2023
If you are the owner of this record, you can report an update to it here: Report update to this record