Approximation Methods in Bayesian Analysis [#1]

Interesting first day, if somewhat intense!, with Sylvia Richardson talking of divide & conquer strategies, which we had recently explored in our work on mixtures with Adrien and Judith. Then Jere Koskela (Warwick) on sufficient conditions for consistent inference on trees like Kingman’s coalescent. And in the afternoon Julia-Adela Palacios on tree estimation, with novel notions of tree distances and barycentre (soon to appear in Biometrika!). And Julyan Arbel on the notion and properties of priors within (deep) neural networks, following different asymptotics. On top of this, two fast sessions for people presenting their poster, to be attended tonight. And the usual early morning run to swim 25mn in one of the calanques… Luckily enough, Marseille is not too hot this week, feeling even nicer than Paris!

One Response to “Approximation Methods in Bayesian Analysis [#1]”

  1. Thank you very much for sharing about this meeting.

    Your summaries are wonderfully helpful for those of us not there.

    Thank you,
    cps

Leave a Reply

Discover more from Xi'an's Og

Subscribe now to keep reading and get access to the full archive.

Continue reading