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ICSTA'19 2019 - International Conference on Statistics: Theory and Applications (ICSTA'19)

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Category Big data, Probability, Data mining, Social statistics, statistics

Deadline: August 13, 2019 | Date: August 14, 2019-August 15, 2019

Venue/Country: Portugal

Updated: 2019-05-10 04:27:56 (GMT+9)

Call For Papers - CFP

The International Conference on Statistics: Theory and Applications (ICSTA'19) aims to become the leading annual conference in fields related to Statistics: Theory and Applications. The goal of ICSTA'19 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.

ICSTA'19 is now accepting papers on the following topics through its OpenConf system. If you have a paper on an additional topic, please write an email to The current topics include but are not limited to:

Applied statistics

Big data


Computational statistics

Data science

Data integration

Data mining


Linear and multiple regression methods

Medical statistics


Social statistics

Sampling theory

Statistics and different sciences

Statistical softwares

Spatial statistics

Statistics and Finance

Statistics and environment

Statistical signal processing

Statistical methodology

Web data collection

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.