Date/Time
Date(s) - 15/11/2018 - 17/11/2018
12:00 am
Location
The Ondina Campus of the Federal University of Bahia, Salvador, Brazil
First LARS-IASC School on Computational Statistics and Data Science
(Statistics of extremes: Modeling, inferences, and applications), Salvador, Brazil
To increase the development of human capital in computational statistics and support its progress, the Latin American Regional Section of the International Association of Statistical Computing (LARS-IASC) aims to implement a School on Computational Statistics and Data Science (LARS School). The main purpose of the LARS School is to spread the knowledge base and advances in Computational Statistics in the Latin American countries and to increase the number of researchers and data scientists in the field. The main objectives of the LARS School are,
To spread the base of knowledge in computational statistics to the Latin American scientific community.
To provide an overview of the state-of-the-art of the ongoing research in computational statistics.
To provide an overall perspective of the application of computational statistics in data science problems.
To present applications where computational statistics have been crucial to solve problems in real-life applications.
To increase the number of Latin American researchers and practitioners in computational statistics and data science.
The 1st LARS-IASC School on Computational Statistics and Data Science is organized by the Latin American Regional Section of the International Association for Statistical Computing (LARS-IASC), under the topic “Statistics of extremes: Modeling, inferences, and applications”.
Venue
The 1st LARS-IASC School on Computational Statistics and Data Science will be held at the Ondina Campus of the Federal University of Bahia, Salvador, Brazil, from November 15-17, 2018.
For more information: http://www.csds.ime.ufba.br/LARS.html