COMPUTO, the journal for reproducible statistical research

Computo (latin for calculate, compute, reckon) is a new journal launched by the French statistical society (SFDS) to promote reproducible research in statistics and machine learning by publishing papers with reproducible contributions. Towards this goal, Computo goes beyond classical static publications by including technical advances in literate programming and scientific reporting. The reproducibility of numerical results is a necessary condition for publication in Computo. In particular, submissions must include all necessary data (e.g. via zenodo repositories) and code. For contributions featuring the implementation of methods/algorithms, the quality of the provided code is assessed during the review process. Meaning accepting contributions in the form of notebooks (e.g. Rmarkdown, or Jupyter). This is a 100% free and open-access journal, thanks to the sponsoring of the SFDS. Once a manuscript is accepted, its reviews will be made available on the Computo website. Reviewers can choose to remain anonymous or not. (Towards an even broader reach, we are now considering a partnership with the PCI, following an earlier attempt I did not pursue till its completion…) Computo’s logo has been designed by Loïc Schwaller. And represents the letters of Computo in bytes. Submissions are now open!

PCI Math Comp Biol gets live!

A new Peer Community (PCI) preprint and postprint server is about to get live, with Mathematical & Computational Biology as its core interest. Thanks to the efforts of Amaury Lambert, Céline Scornavacca, and Eric Tannier. Following the earlier PCI Evol Biol (and my aborted attempt to start a PCI Comput Stats…). Although the funding and the core team are mostly French, the target is obviously international and editors from all backgrounds and specialties are most welcome to join as authors and reviewers!

machine learning methods are useful for ABC [or my first PCI Evol Biol!]

While I am still working on setting a PCI [peer community in] Comput Stats, having secure sponsorship of some societies (ASA, KSS, RSS, SFdS, and hopefully ISBA), my coauthors Jean-Michel Marin and Louis Raynal submitted our paper ABC random forests for Bayesian parameter inference to PCI Evol Biol. And after a few months of review, including a revision accounting for the reviewers’ requests, our paper stood the test and the recommendation by Michael Blum and Dennis Prangle got published there. Great news, and hopefully helpful for our submission within the coming days!

and the travelling salesman is…

Here is another attempt at using StippleGen on… Alan Turing‘s picture. My reason for attempting a travelling salesman rendering of this well-known picture towards creating a logo for PCI Comput Stats, the peer community project I am working on this summer. With the help of the originators of PCI Evol Biol.

exciting week[s]

The past week was quite exciting, despite the heat wave that hit Paris and kept me from sleeping and running! First, I made a two-day visit to Jean-Michel Marin in Montpellier, where we discussed the potential Peer Community In Computational Statistics (PCI Comput Stats) with the people behind PCI Evol Biol at INRA, Hopefully taking shape in the coming months! And went one evening through a few vineyards in Saint Christol with Jean-Michel and Arnaud. Including a long chat with the owner of Domaine Coste Moynier. [Whose domain includes the above parcel with views of Pic Saint-Loup.] And last but not least! some work planning about approximate MCMC.

On top of this, we submitted our paper on ABC with Wasserstein distances [to be arXived in an extended version in the coming weeks], our revised paper on ABC consistency thanks to highly constructive and comments from the editorial board, which induced a much improved version in my opinion, and we received a very positive return from JCGS for our paper on weak priors for mixtures! Next week should be exciting as well, with BNP 11 taking place in downtown Paris, at École Normale!!!