%0 DATA
%A Gerhardus, Visser
%D 2016
%T Interest-relative induction
%U https://monash.figshare.com/articles/Interest-relative_induction/4290104
%R 10.4225/03/58477f0b0ddd9
%2 https://monash.figshare.com/ndownloader/files/6995831
%K Bayesian
%K Inductive inference
%K Decision theory
%K Philosophy of science
%K Machine learning
%K Statistics
%K Information theory
%K Minimum message length
%X This thesis examines
the theoretical foundations of Bayesian statistical inference. A more complete
mathematical model of inductive inference is developed which takes into account
limitations of the agents involved. Recommendations are made for how the
process of designing inference algorithms can be improved.