March 16-18th, 2022
- 11/03/22 - Deadline for registration of authors with accepted works.
- 16/03/22 - Deadline for registration.
Welcome to the 16th Brazilian Meeting of Bayesian Statistics and VI Latin American Conference on Statistical Computing!
We thank you for your interesting in participating the 16th Brazilian Meeting of Bayesian Statistics and VI Latin American Conference on Statistical Computing!
The joint meeting, 16th Brazilian Meeting of Bayesian Statistics (EBEB, in Portuguese) and VI Latin American Conference on Statistical Computing (LACSC) will be held virtually with the following objectives:
- Strengthening the scientific research in the area of Bayesian Statistics and Statistical Computing;
- Disseminating its applications in the Latin American Statistics community;
- Providing increased collaboration between researchers;
- Presenting the latest advances in the area;
- Discussing problems that may generate new lines of research;
- Providing graduate students with the experience of a scientific environment and presentation of their research work;
Meet the organizers
Prof. Ricardo Sandes EhlersUSP
Profa. Veronica Gonzalez-LopezUnicamp (Campinas)
The Latin American Regional Section (LARS) of the International Association for Statistical Computing (IASC) was established by the IASC General Assembly during the 22nd International Conference on Computational Statistics, held in Oviedo, Spain, August 23-26, 2016. Annually the IASC-LARS organizes The Latin American Conference on Computational Statistics (LACSC). In 2022, scheduled to take place online, March 16-18, in São Carlos, SP, Brazil, this will be the sixth edition of the LACSC. The 1st Latin American Conference on Statistical Computing - July 22-24, 2016 was held in Gramado, RS, Brazil. The 2nd Latin American Conference on Statistical Computing - March 9-11, 2017 was held in Valparaiso, Chile. The 3rd Latin American Conference on Statistical Computing - February 27 to March 2, 2018, was held in San José, Costa Rica, the 4th Latin American Conference on Statistical Computing - May 28-31, 2019 was held in Guayaquil, Ecuador, and the V Latin American Conference on Statistical Computing - April 19-21, 2021 was held in Mexico City, Mexico (turned into Online meeting because of the SARS-Cov-2 global pandemic).
EBEB has been held every two years since 1991, initially organized by groups of Brazilian researchers interested in the dissemination and growth of research in Bayesian Statistics in the country. The previous 14 editions of EBEB were held in the states of Sao Paulo, Rio de Janeiro and Minas Gerais. In 2000, the organization of the EBEB became the responsibility of the board of ISBRA, the Brazilian Society of Bayesian Statistics and the Brazilian Section of the International Society for Bayesian Analysis (ISBA). In 2002, ISBRA organized its first event, the 6th EBEB, in conjunction with the First Latin American Bayesian Statistics Congress (I COBAL), which was born out of the need to know what was being developed in Bayesian Statistics throughout Latin America and integrate research groups from Latin American countries. Since then, EBEB has gained greater projection and both national and international recognition, as attested by the participation of renowned professors and leading researchers in all subsequent editions of EBEB. In addition, the latest editions have attracted researchers from various countries, especially South America, who have considered EBEB as a good forum to disseminate the results of their research in their countries, giving this important Brazilian event with a more international character. National recognition is noted by the number of participants, around 150, and the variety of places of origin. The participation of students, especially graduate students, has also been significant.
Researchers, professors and professionals working in the area of Bayesian Statistics and Statistical Computing as well as graduate and undergraduate students in Statistics and related fields. An audience of between 150 and 200 participants is expected.