Archive for workshop

CASSIS [in Vancouver]

Posted in pictures, Running, Statistics, Travel, University life with tags , , , , , , , , , on May 29, 2018 by xi'an

My friend Luke Bornn is running a workshop on Statistics in Sports the day after JSM, in Vancouver. With sessions on American football, basketball, and other sports. Not exactly in the continuation of the long summer of Briton conferences series, unless one considers the “British” in British Columbia!, but definitely worth considering as a boxing day for JSM!

yes, another potential satellite to ISBA 2018!

Posted in Statistics with tags , , , , , , , , , , on May 22, 2018 by xi'an

On July 2-4, 2018, there will be an ISBA sponsored workshop on Bayesian non-parametrics for signal and image processing, in Bordeaux, France. This is a wee bit further than Warwick (BAYsm) or Rennes (MCqMC), but still manageable from Edinburgh with direct flights (if on Ryanair). Deadline for free (yes, free!) registration is May 31.

just in case your summer of British conferences is not yet fully-booked…

Posted in Statistics with tags , , , , , , , , , , , on May 11, 2018 by xi'an

deaths at sea and a workshop

Posted in pictures, Statistics, Travel, University life with tags , , , , , , , , , , , , , , , on May 9, 2018 by xi'an

For several years, actually from the beginning of the Syrian revolution, I have been looking for data and for statisticians working on migrant deaths resulting from crossing the Mediterranean. With very little success, either because the researchers I met had poor and fragmented data, or because the agencies I contacted showed no (good) will into returning these statistics. Frontex being the most blatant example. I thus read with a lot of interest this article “Uncounted: Invisible Deaths on Europe’s Borders” which analyses the reasons for not producing statistics on the deaths at sea linked with desperate migrants crossing the sea in ill-suited boats.

In connection with this pressing issue, Kerrie Mengersen, Pierre Pudlo and myself organise next November a small workshop on Young Bayesians and Big Data for social good, at CIRM, Marseille, France. It will take place on the weekend before our main conference, Bayesian statistics in the Big Data era, that is, on 23-26 November 2018. Registration is free (and on site accomodation is cheap) but the number of attendees is limited, so apply asap! Senior participants include at this stage Tamara Broderick (MIT), Julien Cornebise (Element AI, TBC), David Corliss (Peace Work), Ruth King (Edinburgh), Cody Ross (UCSD, TBC), and the workshop aims at bringing participants to work together on methodological challenges and characteristic datasets. The outcome of the workshop will be presented at the beginning of the Bayesian statistics in the Big Data era, conference, on Monday 26 November.

València summer school

Posted in Kids, pictures, R, Running, Statistics, Travel, University life, Wines with tags , , , , , , , , on January 31, 2018 by xi'an

In another continuation of the summer of Bayesian conferences in Europe, the Universidat de Valencià is organising a summer school on Bayesian statistics, from 16 July till 20 July, 2018. Which thus comes right after our summer school on computational statistics at Warwick. With a basic course on Bayesian learning (2 days). And a more advanced course on Bayesian modeling with BayesX. And a final day workshop.

journée algorithmes stochastiques à Dauphine vendredi

Posted in Statistics, University life with tags , , , , , , , , , , on November 28, 2017 by xi'an

A final reminder (?) that we hold a special day of five talks around stochastic algorithms at Dauphine this Friday, from 10:00 till 17:30. Attendance is free, coffee and tea are free (while they last!), come and join us!

a Ca’Foscari [first Italian-French statistics seminar]

Posted in Kids, pictures, Statistics, Travel, University life with tags , , , , , , , , , , , , , on October 26, 2017 by xi'an

Apart from subjecting my [surprisingly large!] audience to three hours of ABC tutorial today, and after running Ponte della la Libertà to Mestre and back in a deep fog, I attended the second part of the 1st Italian-French statistics seminar at Ca’Foscari, Venetiarum Universitas, with talks by Stéfano Tonellato and Roberto Casarin. Stéfano discussed a most interesting if puzzling notion of clustering via Dirichlet process mixtures. Which indeed puzzles me for its dependence on the Dirichlet measure and on the potential for an unlimited number of clusters as the sample size increases. The method offers similarities with an approach from our 2000 JASA paper on running inference on mixtures without proper label switching, in that looking at pairs of allocated observations to clusters is revealing about the [true or pseudo-true] number of clusters. With divergence in using eigenvalues of Laplacians on similarity matrices. But because of the potential for the number of components to diverge I wonder at the robustness of the approach via non-parametric [Bayesian] modelling. Maybe my difficulty stands with the very notion of cluster, which I find poorly defined and mostly in the eyes of the beholder! And Roberto presented a recent work on SURE and VAR models, with a great graphical representation of the estimated connections between factors in a sparse graphical model.