Ferenc Huszar's PhD thesis on scoring rules and Bayesian inference.
If you like my open-source thesis, you can donate to my after-thesis-submission-chill fund via micropayments service Flattr:
- General intro to scoring rules
- Visualisation of information geometries induced by scoring rules
- loss-calibrated approximate Bayesian inference
- A scoring rule-based framework Bayesian active learning
- Bayesian active learning for GP classification and preference learning
- Adaptive Bayesian Quantum Tomography
## Licenses and stuff:
- Most stuff, including figures are up for grabs, with appropriate reference to the thesis
- The Cambridge University logo is from http://www.admin.cam.ac.uk/offices/communications/services/logos/ and may only be used as advised on that website
- The repo contains latex class files or matlab macros written by other people, usually the file contains the name of the authors