You're looking at Less Wrong's discussion board. This includes all posts, including those that haven't been promoted to the front page yet. For more information, see About Less Wrong.

IlyaShpitser comments on Open thread, 24-30 March 2014 - Less Wrong Discussion

6 Post author: Metus 25 March 2014 07:42AM

You are viewing a comment permalink. View the original post to see all comments and the full post content.

Article Navigation

Comments (156)
Tags: open_thread

Comments (156)

You are viewing a single comment's thread. Show more comments above.

Comment author: Oscar_Cunningham 01 April 2014 11:15:21AM *  2 points [-]

Yes, you're right. Clearly many people who identify as frequentists do hold P(hypothesis) to be meaningful. There are statisticians all over the B/F spectrum as well as not on the spectrum at all. So when I said "frequentists believe ..." I could never really be correct because various frequentists believe various different things.

Perhaps we could agree on the following statement: "Probabilities such as P(hypothesis) are never needed to do frequentist analysis."

For example, the link you gave suggests the following as a characterisation of frequentism:

Goal of Frequentist Inference: Construct procedure with frequency guarantees. (For example, confidence intervals.)

Since frequency guarantees are typically of the form "for each possible true value of theta doing the construction blah on the data will, with probability at least 1-p, yield a result with property blah". Then since this must hold true for each theta, the distribution for the true value of theta is irrelevant.

Comment author: IlyaShpitser 01 April 2014 12:15:59PM *  0 points [-]

I could never really be correct because various frequentists believe various different things.

The interesting questions to me are: (a) "what is the steelman of the frequentist position?" (folks like Larry are useful here), and (b) "are there actually prominent frequentist statisticians who say stupid things?"

By (b) I mean "actually stupid under any reasonable interpretation."

Clearly many people who identify as frequentists

Quote from the url I linked:

One thing that has harmed statistics — and harmed science — is identity statistics. By this I mean that some people identify themselves as “Bayesians” or “Frequentists.” Once you attach a label to yourself, you have painted yourself in a corner.

When I was a student, I took a seminar course from Art Dempster. He was the one who suggested to me that it was silly to describe a person as being Bayesian of Frequentist. Instead, he suggested that we describe a particular data analysis as being Bayesian of Frequentist. But we shouldn’t label a person that way.

I think Art’s advice was very wise.

"Keep your identity small" -- advice familiar to a LW audience.

Perhaps we could agree on the following statement: "Probabilities such as P(hypothesis) are never needed to do frequentist analysis."

I guess you disagree with Larry's take: B vs F is about goals not methods. I could do Bayesian looking things while having a frequentist interpretation in mind.

In the spirit of collaborative argumentation, can we agree on the following:

We have better things to do than engage in identity politics.

Powered by Reddit Powered by Reddit