semi-automatic ABC

The talk of Wednesday afternoon Ordinary Meeting of the Royal Statistical Society went on quite well, I think. I would have expected a few more people (in general) and some specific people (in particular) but this being the last week of term the schedule was not the best of times. Paul Fearnhead gave the talk, insisting on the fact that ABC had to be evaluated on its own and relating the method to Rubin‘s 1984 and to Dingle and Gratton‘ [also] 1984 papers. The main discussant was Marc Beaumont, who gave a balanced overview of the paper along with connections with population genetics. As a seconder, I managed to cover most of the points I had prepared, even though I forgot the ritual final sentence (that I was seconding the vote of thanks), as in most of the past occasions I had to discuss a Read Paper…  Most of the discussants focussed on alternative ways to implement ABC, with one particularly interesting last minute intervention about the inflation represented by associating a summary statistic with each quantity of interest. As there were many written contributions as well, I am looking forward the published collection of the discussions (I wish were available on-line).

2 Responses to “semi-automatic ABC”

  1. […] I am contacting you instead of addressing the authors is because (i) you have been involved in the RSS reading of their paper and (ii) you are an authority on ABC, and therefore you are probably best suited and […]

  2. […] to think about the parameterisation of ABC methods. He chose a non-parametric presentation, as in Fearnhead and Prangle. From this viewpoint, the choice of the kernel K and of the distance measure should not matter so […]

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this: