4.4.1 Model Comparison and BIC - Pattern Recognition and Machine Learning

In this video, we apply the Laplace approximation to the model evidence and find that it decomposes as the sum of a likelihood term and an "Occam factor" that scales with the number of parameters in the model and penalizes more complex models.