My experience with applied statistics has been fun in large part because it involved making the Bayesian rubber meet the road of inherent computational complexity, and because it allowed me to define and explore theoretical concepts and tie them to our applied problem... I also had a good time formalizing and unifying ideas, making them more ( Read more... )

For about a year now, I've been meaning to write Henkjan Honing to argue against the position he expresses on Computational modeling of music cognition: a case study on model selection.

I started reading the paper from the beginning, and saw that the source of this view is Roberts & Pashler - How Persuasive Is a Good Fit? A Comment on Theory ( Read more... )