Bayesian Statistics, Model Comparison, Model Selection, Machine Learning, Thoughts And Theory.
possible datasets. In the Bayesian formalism models are specified as probability distributions over datasets and, since probability distributions must sum to one, each model has a limited “probability budget” to allocate. While a complex model can represent a wide range of datasets well, it spreads