Data Analysis Using Regression and Multilevel/Hierarchical Models has some material about deciding between models on this though pretty low level.
Looking at my bookshelf most general AI/ML books have starting points.
“Pattern Recognition and Machine Learning” Bishop
“Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference” Pearl
“Probabilistic Graphical Models: Principles and Techniques” Koller
This is a super-hard problem but worth tackling.
Thanks for the recommendations. One thing that would is just knowing what this is called. Do your books give it a name?
Data Analysis Using Regression and Multilevel/Hierarchical Models has some material about deciding between models on this though pretty low level.
Looking at my bookshelf most general AI/ML books have starting points.
“Pattern Recognition and Machine Learning” Bishop
“Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference” Pearl
“Probabilistic Graphical Models: Principles and Techniques” Koller
This is a super-hard problem but worth tackling.
Thanks for the recommendations. One thing that would is just knowing what this is called. Do your books give it a name?