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‎index.qmd‎

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![Computo Logo](/assets/img/logo_text_vertical.svg){ height="200px" }
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# Computo
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A french journal of the
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[French Statistical Society](https://sfds.asso.fr/)
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![](/assets/img/sfds.png){ height="15px" } - ISSN 2824-7795
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![](/assets/img/logo_text_vertical.svg){ height="150px" }
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This journal aims at promoting computational/algorithmic contributions in statistics and machine learning that provide insight into which models or methods are more appropriate to address a specific scientific question. In order to achieve this goal, Computo goes beyond classical static publications by leveraging technical advances in literate programming and scientific reporting.
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Computo is an academic journal promoting computational/algorithmic contributions in statistics and machine learning that provide insight into which models or methods are more appropriate to address a specific scientific question. In order to achieve this goal, Computo goes beyond classical static publications by leveraging technical advances in literate programming and scientific reporting.
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[More details about our philosophy](about).
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‎site/about.qmd‎

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- **Software/tutorial papers** to present implementations of stats/ML algorithms or
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to feature the use of a package/toolbox. For such papers we expect not only the description of an existing implementation but also the study of a concrete use case. If applicable, a comparison to related works and appropriate benchmarking are also expected.
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<div class="info-block">
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<div class="info-block-header">Pre-submission enquiries</div>
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<div class="info-block-body">
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<p>Prospective authors willing to know whether their contribution
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falls into the scope of Computo are encouraged to contact the
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editor at <a href="mailto@computo@sfds.asso.fr">computo@sfds.asso.fr</a>. Please make sure to include the title and abstract of your work in your pre-submission enquiry.</p>
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</div>
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</div>
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::: {.callout-note}
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### Pre-submission enquiries
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Prospective authors willing to know whether their contribution falls into the scope of Computo are encouraged to contact the editor at [mailto@computo@sfds.asso.fr](computo@sfds.asso.fr). Please make sure to include the title and abstract of your work in your pre-submission enquiry.
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## An open access journal with reproducible contributions
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The reviews are open, i.e. visible to any reader after acceptance of
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the contribution. Reviewers may choose to remain anonymous or not.
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## Plagiarism policy
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Computo abides by the Committee on Publishing Ethics’s (COPE) guidelines listed below on plagiarism:
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- COPE Council. [Suspected plagiarism in a submitted manuscript](https://doi.org/10.24318/cope.2019.2.1), Version 2, November 2018.
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- COPE Council. [Suspected plagiarism in a published manuscript](https://doi.org/10.24318/cope.2019.2.2). Version 2. 2013.
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## Publisher
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Computo is a journal of the [French Statistical Society](https://sfds.asso.fr/) - ISSN 2824-7795
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## Contact
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Enquiries can be sent to the Chief Editor, Julien Chiquet, through <a href="mailto:computo@sfds.asso.fr">computo@sfds.asso.fr</a>.
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‎site/guidelines-reviewers.qmd‎

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## Guidelines for evaluation
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In order to help you in performing your review we provide a list of the main questions we are trying to answer when evaluating a submission:
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1. Is the paper within the scope of Computo?
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See [Aims and Scope]({{ site.baseurl }} /about) of Computo.
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2. Is the paper clearly written?
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Computo is intended for computational scientists in statistics/machine learning. The Abstract and Introduction should be as nontechnical as possible, and provide a clear description of the contributions of the paper. Strength and limitations of the work should be adequately discussed, in particular in relation to related work. Graphs and tables should be well thought out and uncluttered.
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3. Is the paper correct?
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Mathematical and algorithmic validity are the authors' professional responsibility. Referees can spot errors of reasoning, but are not expected to perform line-by-line checks of technical results.
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4. Is the paper adequately evaluated?
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Are all claims clearly articulated and supported either by empirical experiments or theoretical analyses? If appropriate, have the authors implemented their work and demonstrated its utility on a significant problem?
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5. Is the paper reproducible?
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The reproducibility of numerical results is a necessary condition for publication in Computo. The referees are expected to check whether they can run the code provided by the authors to reproduce their results. In case of major reproducibility issues, the referees should warn the Associate Editor as soon as possible.

‎site/review.qmd‎

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not.</p>
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</div>
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</div>
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## Guidelines for evaluation
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In order to help you in performing your review we provide a list of the main questions we are trying to answer when evaluating a submission:
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1. Is the paper within the scope of Computo?
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See [Aims and Scope]({{ site.baseurl }} /about) of Computo.
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2. Is the paper clearly written?
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Computo is intended for computational scientists in statistics/machine learning. The Abstract and Introduction should be as nontechnical as possible, and provide a clear description of the contributions of the paper. Strength and limitations of the work should be adequately discussed, in particular in relation to related work. Graphs and tables should be well thought out and uncluttered.
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3. Is the paper correct?
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Mathematical and algorithmic validity are the authors' professional responsibility. Referees can spot errors of reasoning, but are not expected to perform line-by-line checks of technical results.
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4. Is the paper adequately evaluated?
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Are all claims clearly articulated and supported either by empirical experiments or theoretical analyses? If appropriate, have the authors implemented their work and demonstrated its utility on a significant problem?
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5. Is the paper reproducible?
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The reproducibility of numerical results is a necessary condition for publication in Computo. The referees are expected to check whether they can run the code provided by the authors to reproduce their results. In case of major reproducibility issues, the referees should warn the Associate Editor as soon as possible.
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## Plagiarism policy
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Computo abides by the Committee on Publishing Ethics’s (COPE) guidelines listed below on plagiarism:
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- COPE Council. [Suspected plagiarism in a submitted manuscript](https://doi.org/10.24318/cope.2019.2.1), Version 2, November 2018.
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- COPE Council. [Suspected plagiarism in a published manuscript](https://doi.org/10.24318/cope.2019.2.2). Version 2. 2013.

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