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