Submission

Submission phase is now closed.
The communications must be submitted on MyReview before February 3rd, 2014 February 16th, 2014 (5 p.m. local time).

Instructions to authors

The official language of the Journées de Statistique is French. Of course, non-French speaking authors may present their work in English, while providing an abstract. Selection of the submitted proposals will be carried out by the Program Committee.

To submit a communication for the 46e Journées de Statistique, you must prepare the following 4 items:

  1. A title in lowercase and in a single line (Latex commands, except \cite{}, can be used).
  2. An abstract in french, intended for the participants’ booklet, with 250 words. This abstract must be copied in the “Abstract submission form” on the submission website (see below). Its objective is to convey concisely to the reader a clear idea of the subject covered in the paper. You need not mention the title of the communication, the speaker, the co-writers nor the keywords. Please use lowercase in a single line (Latex commands, except \cite{}, can be used). And please do not add an English translation.
  3. A written document (2-6 pages long) for the website of the JdS’2014, describing the content of the communication. This text must mention the title of the communication, the author(s), their affiliations and addresses. It must also include a French abstract, an English abstract, a list of keywords and a bibliography. It should be uploaded in PDF format on the submission website. Please use one of the following two templates (Latex or Word) to prepare this long text:
  4. A main topic, chosen from the list below and specified on the “Abstract submission” form on the submission website. This research topic is essential for the correct allocation of the submissions between the members of the Program Committee.
    Data mining
    Statistical learning and clustering
    Biostatistics
    Chimiometry
    Survival and censored data
    Complex data in life sciences
    Econometrics
    Teaching
    Environment
    Case studies
    Large dimension
    History of the statistics
    Engineering, industry
    Marketing
    Bayesian methods
    Medicine, epidemiology
    Mixture models
    Graphical models
    Insurance, finance
    Semi- and non-parametric models
    Wavelets
    Experimental design
    Process
    Inverse problems
    and sparsity
    Quality, reliability
    Survey
    Mathematical statistics
    Spatial statistics
    Temporal series
    Image treatment
    Extreme values

Submissions are carried out exclusively through MyReview.

  • If you do not have an account on MyReview, you can create one at the following link: registration form.
  • If you already have an account on MyReview, you can directly submit your abstract at the following link: submission form.

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