Archive for journal

down-under ABC paper accepted in JCGS!

Posted in Books, pictures, Statistics, University life with tags , , , , , , , , , , , , on October 25, 2018 by xi'an

Great news!, the ABC paper we had originally started in 2012 in Melbourne with Gael Martin and Brendan MacCabe, before joining forces with David Frazier and Worapree Maneesoothorn, in expanding its scope to using auxiliary likelihoods to run ABC in state-space models, just got accepted in the Journal of Computational and Graphical Statistics. A reason to celebrate with a Mornington Peninsula Pinot Gris wine next time I visit Monash!

the modern internet of things

Posted in University life with tags , on May 20, 2012 by xi'an

Here is an hillarious email I got this morning about a journal called the Modern Internet of Things (sic):

Dear Pro. , Considering your research in related areas, we cordially
invite you to submit a paper to Modern Internet of Things 
(MIOT). The Journal of Modern Internet of Things (MIOT) is 
published in English, andis a peer reviewed free-access 
journal which provides rapid publications and a forum for 
researchers, research results, and knowledge on Internet of 
Things. It serves the objective of international academic 

On the journal webpage, I noticed the following

Papers to be submitted to MIOT are required at least 6 pages after formatting according to the template on this website.

which is quite unusual a request since journals prefer to cull long papers!

When has Bayesian analysis really made a difference???

Posted in Books, Statistics, Travel, University life with tags , , , , , on July 30, 2011 by xi'an

With Kerrie Mengersen (QUT, Brisbane), we are launching a call for Bayesian “stories”, towards a collective paper/a special issue:

When has Bayesian analysis really made a difference?

Following the publication of “the theory that would not die” by Sharon McGrayne, about how Bayesian analysis contributed to science and the World in general, we [Kerrie Mengersen (QUT, Brisbane) and Christian Robert (Paris-Dauphine)] would like to put together a collection of six-page vignettes that describe real cases in which Bayesian analysis has been the only way to crack a really important problem.
To this end, we are launching a call for one page proposals that address the following questions.

  • What was the big problem to be solved? We mean big.
  • Why was it so difficult to solve statistically?
  • What was the Bayesian resolution?
  • Why couldn’t it be solved by other means? What were the shortcomings of other statistical solutions?
  • What was the overall impact of this Bayesian analysis on the real world?

We will then review those proposals and select the most significant ones towards the production of six page vignettes, aiming them to be published in a special issue or a multiple authored paper of a mainstream statistical journal. The deadline for the submission of a one-page proposal is September 30. It should be sent to Christian P. Robert at bayesianstatistics@gmailcom in pdf format. The final deadline will depend on the journal editor.

Obviously, if you happen to be like me at JSM 2011 this week and have a proposal (or journal!) in mind, feel free to talk to me about this! (I have also been waiting ages for a copy—two, actually—of the theory that would not die towards the dual goals of reading it and writing a review, but both channels failed to deliver.)

A caricature of Bayesian statistics (2)

Posted in Statistics with tags , on November 10, 2008 by xi'an

The letter to the editor of La Recherche I posted there has just been published in the November issue (No. 424, p.6). It also includes a reply from Nicolas Vayatis who, while protesting he did not want to present Bayesians as sectarians, maintains his anecdote about the Bayesian songs sung at the beginning of each Bayesian conference! He also argues that the difference between Bayesians and frequentists is primarily philosophical and sociological (?!). The conclusion of the reply is somewhat tongue-in-cheek, in that Nicolas Vayatis states that his main message for young statisticians is to keep in touch with societal issues by developping modelling tools. This still sounds critical of communitarian (or even sectarian) tendencies, while the rapid development of Bayesian statistics in the past twenty years is exactly due to the involvement of Bayesian statisticians in all directions of statistical modelling. Anyway, there is no need to keep the ball rolling now that the point has been made.

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