You're reading the public-facing archive of the Category Theory Zulip server.
To join the server you need an invite. Anybody can get an invite by contacting Matteo Capucci at name dot surname at gmail dot com.
For all things related to this archive refer to the same person.
Hey all,
This is the discussion thread of Peter McCullagh's talk, "Categorical notions in statistics".
The talk, besides being on Zoom, is livestreamed here: https://youtu.be/fVEucjkYSmw
Date and time: Friday, 5 Jun, 15h UTC.
Hi. We will start in 30 minutes.
Unfortunately the speaker is not connected yet. Apologies for the inconvenience!
We are having a break for now, with breakout rooms. We will start again in about 40 minutes. Sorry about that!
The paper mentioned by Tom: "WHAT IS A STATISTICAL MODEL?" by PETER MCCULLAGH http://www.stat.uchicago.edu/~pmcc/pubs/AOS023.pdf
Can you say that on Youtube as well?
(That we are having a break)
Yep, thank you
Ok, the talk is postponed. It is going to happen in 90 minutes, after Malte's talk!
Starting in 5 minutes.
Will Peter's slides be available?
thanks!
i hope so. did you catch peter's remarks re: saunders? i missed those minutes.
t.eric.brunner said:
i hope so. did you catch peter's remarks re: saunders? i missed those minutes.
While we wait for the slides (and possibly the recording), you can connect to the Youtube stream and watch from an earlier moment, if you want.
thanks. i will, hours from now.
I didn't really want to ask in the talk because it's probably more of an open discussion: Is there a relation between these statistics and higher inductive types? In particular, for every natural number n there is a higher inductive type corresponding to the groupoid given by the symmetric group of order n.
i'd not realized -- pages 1267-1310 are discussion of peter's "what is" paper, which begins at 1225.
The slides are now here.
I enjoyed your talk, Peter. Isn't being a natural statistic for an S.R.S. a Martingale condition? Consider the Markov process whose states are all finite samples of size , with transitions from size to size defined by forgetting an element with uniform probability. Then the property of being a natural statistic says that is a Martingale with respect this Markov chain. I realise this is an obvious restatement (if true at all - it's late at night here and I may be missing something). But assuming it is correct, I find it helpful to see the definition in familiar terms.
Tobias Fritz said:
The slides are now here.
Thanks -- I guess you meant https://perimeterinstitute.ca/personal/tfritz/2019/cps_workshop/slides/mccullagh.pdf .
D'oh, yes thanks, corrected.
Here's the recording!
https://youtu.be/FTYLuzRxHTs