The ICSDS 2024 meeting in Nice is quite impressive and not primarily because it is in Nice under a beautiful December sun. As other (numerous) IMS meetings I attended (since the initial one in Uppsala in 1990!), the program is of high quality and along topics that are currently moving fast or emerging. From the sessions I attended, e-values are strongly represented, although it remains unclear to me why they should constitute a major departure from p-values, as they stick to hypothesis testing, Type I error, power, and the whole paraphernalia of Neyman-Pearson formalism. If I manage to attend a BIRS workshop on the subject next Summer, I may manage to get a better e-derstanding!
The MCMC (only!) session included a presentation by Guanyang Wang that generalised different approximate MCMC schemes into a unified one. And one by Filippo Ascolani on Gibbs beating the competition! I also attended the Bayesian prediction session, where my friends Sonia Petrone and Chris Holmes have presentations on their respective Series B papers. I discussed both on the ‘Og, on 15 March 2023 and 07 November 2022, respectively. This time, I found that both talks had a Bayesian bootstrap flavour, which is not surprising when considering the non-parametric nature of the approach. And they left me wondering at it being protected from overfitting.
My only plenary session was Cynthia Dwork’s on outcome indistinguishability, which, while related to the privacy topics I was topic, remained somewhat obscure as to its purpose. Meaning I have to get through the paper to get a more holistic perspective.
Of course, Nice in Winter is a very nice place, with the waterfront available for running an uninterrupted 15km as we found out with Jérémie Houssineau (at a brisk 4’09” pace I had not planned before starting!) and the sea all for myself (for a dozen minutes before losing digits!). Unfortunately I had to skip the final day due to examinations of the Paris Dauphine MASH master. And miss Stan receiving a student award. But I am looking forward the next iterations of ICSDS. (Not including Copenhagen, Madrid and many many other places in 2025, since ICSDS seemed a most common name for conferences, some presumably predatory! The true location is Sevilla, to keep up with the Mediterranean theme of ICSDS!)
Archive for Chennai
Nice meeting!
Posted in pictures, R, Running, Statistics, Travel, University life with tags Approximate Bayesian computation, Bayesian bootstrap, Bayesian predictive, BIRS, Côte d'Azur, Chennai, Chennai Mathematical Institute, e-values, French Riviera, Gibbs sampling, hypothesis testing, ICSDS 2024, IMS, indistinguishability, Institute of Mathematical Statistics, Neyman-Pearson tests, Nice, open water swimming, p-values, predatory conferences, Promenade des Anglais, reproducible research, Uppsala, w on December 18, 2024 by xi'anBayes by the Bay
Posted in Books, Statistics, Travel, University life with tags Australia, Bayes on the Beach, Bayesian ideas and data analysis, Brazil, Chennai, down by the bay, India, ISBA, ISBrA, Pierre Simon de Laplace, Pondichéry, QUT, Théorie Analytique des Probabilités, Thomas Bayes on August 28, 2012 by xi'an
No, no, this is not an announcement for a meeting on an Australian beach (which is Bayes on the Beach, taking place next November (6-8) on the Sunshine Coast and is organised by Kerrie Mengersen’s BRAG, at QUT, that I just left! With Robert Wolpert as the international keynote speaker and Matt Wand as the Australian keynote speaker.) Bayes by the Bay is “a pedagogical workshop on Bayesian methods in Science” organised by the Institute of Mathematical Sciences, based in the CIT campus in Chennai. It is taking place on January 4-8, 2013, in Pondichéry. (To use the French spelling of this former comptoir of French India…) Just prior to the ISBA Varanasi meeting on Bayesian Statistics.
Great: the webpage for the workshop uses the attached picture of Pierre-Simon (de) Laplace, rather than the unlikely picture of Thomas Bayes found all over the place (incl. this blog!). This was also the case in Christensen et al.’s Bayesian ideas and data analysis. So maybe there is a trend there. I also like the name “Bayes by the Bay“, as it reminds me of a kid song we used to sing to/with our kids when they were young, “down by the bay“, after a summer vacation with Anne and George Casella…
Coincidentally, my re-read of Laplace’s Théorie Analytique des Probabilitiés just appeared (in English) in the Boletim ISBrA, the dynamic Brazilian branch of ISBA.
