Mon: Recently in the sister blog

Tues: How should statisticians and economists think about recreational gambling?

Wed: Lack of free lunch again rears ugly head

Thurs: Swimsuit special: “A pure Bayesian or pure non-Bayesian is not forever doomed to use out-of-date methods, but at any given time the purist will be missing some of the most effective current techniques.”

Fri: I definitely wouldn’t frame it as “To determine if the time series has a change-point or not.” The time series, whatever it is, has a change point at every time. The question might be, “Is a change point necessary to model these data?” That’s a question I could get behind.

Sat: Actually, I’d just do full Bayes

Sun: My quick answer is that I would analyze all 10 outcomes using a multilevel model.

And, just for fun, here are the posts scheduled for the following week:

Mon: Thinking about this beautiful text sentiment visualizer yields a surprising insight about statistical graphics

Tues: The Psychological Science stereotype paradox

Wed: In defense of endless arguments

Thurs: Multilevel regression

Fri: Data-dependent priors as an approximation to hierarchical priors

Sat: Objects of the class “Pauline Kael”

Sun: What is a Republican?

We’re actually booked through June but this is all I’ll give ya right now.