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“Ronald Reagan is a Statistician and Other Examples of Learning From Diverse Sources of Information”

That’s the title of my talk at Montana State University this Thursday (21 Mar). For those of you who happen to be in the area, it’s 3:30-5:00pm in the Procrastinator Theater.

I’m also speaking in the statistics seminar from 11-12:15 in the Byker Auditorium in the Chemistry building. Topic: Causality and Statistical Learning.

P.S. My title is a bit Geng-inspired, which reminds me that I recently came across this interesting mini-bio.


  1. kerokan says:

    “Procrastinator Theater”? hehe.

  2. Brian says:

    Off topic (sorry!), but thought you may be interested in the latest case of economic exceptionalism:

    “Introducing ‘Ask Emily’ by economist Emily Oster

    I’m an economics professor at the University of Chicago Booth School of Business. I’m also the child of two economists and the wife of a third. Making life decisions according to good economics principles is second nature to me. So ask away: kids, spouses, jobs, chores, how to spend your time. I’m here to optimize your life.”

  3. Tor Bertin says:

    One semester too late, or I’d be there to see it!

  4. revo11 says:

    What computer scientists are being referred to in this comment – “(Some) computer scientists’ view: we don’t need controlled experiments; we can automatically learn from observational data”?

    There are computer scientists who are only interested in prediction because of their problem domain, but even among people who work on inductive causation, I can’t imagine anyone would say that controlled experiments are not needed.

  5. I love the quote by Peter Schjeldahl about Geng in that NY magazine piece you linked:

    You can hear Geng’s friends straining and groaning underneath it now, this burden of trying to convey all the rampaging complexities of a mind and personality so unusual. “She was like a prototype for a civilized person,” says Schjeldahl, “that never went into production.”