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    ICSTA'21 2021 - 3rd International Conference on Statistics: Theory and Applications (ICSTA’21)

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    Website https://2021.icsta.net/ | Want to Edit it Edit Freely

    Category Statistics; data mining; bioinformatics

    Deadline: May 21, 2021 | Date: July 29, 2021-July 31, 2021

    Venue/Country: Virtual Conference, Czech Republic

    Updated: 2021-04-21 00:10:38 (GMT+9)

    Call For Papers - CFP

    The Conference Proceedings will be published with an ISSN and ISBN, indexed in Google Scholar, and archived permanently in Portico.

    The 3rd International Conference on Statistics: Theory and Applications (ICSTA’21) aims to become the leading annual conference in fields related to Statistics: Theory and Applications. The goal of ICSTA’21 is to gather scholars from all over the world to present advances in the relevant fields and to foster an environment conducive to exchanging ideas and information. This conference will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields.

    ICSTA is an acronym for International Conference on Statistics: Theory and Applications.

    Topics themes for ICSTA’21 include, but are not limited, to the following:

    Applied statistics

    Big data

    Bioinformatics

    Data mining

    Medical statistics

    Social statistics

    Statistical softwares

    Statistics and environment

    Statistical signal processing

    Statistical methodology

    Time-series Analysis


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.