talks on the East Coast

On Tuesday and Wednesday, next week, I will give seminars in Princeton University and Rutgers University, respectively. My talk at Princeton actually takes place in the Department of Economics, at the Oskar Morgenstern Memorial Seminar (Tuesday, April 3, 2:40 – 4:00pm 200 Fisher Hall). I must acknowledge that the prospect is a wee daunting. For addressing the manes of Morgenstern and for speaking in Nash‘s very own institution, if nothing else! And my talk at Rutgers is in the Department of Statistics and Bostatistics (Wedn, April 4, 3:20 – 4:20, Hill Center, Busch Campus), where I will meet with my friend of many years Bill Strawderman. And my former PhD student Aude Grelaud. Both talks will cover the same ground of ABC model choice and Bayesian consistency (surprise, surprise!). The format of the econometrics seminar at Princeton being a bit longer, I will give more background on ABC, mostly in connection with the econometric methods I mentioned in my ABC tutorial in Roma and at CREST. I presume I will skip this part in Rutgers as biologists and geneticists are more likely to attend than econometricians. In preparation, here is the current version of the talk, to be updated till Monday at the very least!

5 Responses to “talks on the East Coast”

  1. […] Confronting Intractability in Statistical Inference workshop in Bristol, supported by SuSTain. The novelty is in the final part, where we managed to apply our result to a three population genetic escenario […]

  2. […] Statistical Inference, supported by SuSTain. This is a perfect theme for presenting and discussing ABC research, most obviously. I am looking forward to be back in Bristol with friends of many years. From […]

  3. […] Random Fields and Social Networks” which I only finished reading in the limo from JFK to Princeton… It is a fairly interesting comparison of ABC and MCMC algorithms applied to the cases of […]

  4. Dan Simpson Says:

    Nice talk, but the gold font you’ve used for the equations in the Assumptions section is *really* hard to read (at least on my crappy screen).

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