[ABE-L] Ciclo de Seminários do PPGE/2026.1

['Francisco Cysneiros' via abe-l@ime.usp.br]

Ciclo de Seminários do PPGE/2026.1

Temos o prazer de anunciar que, no dia  29 de abril de 2026,
o seminário será ministrado pelo  Prof. Dr. Mario de Castro Andrade Filho
- ICMC/USP


Detalhes da palestra:


seminário de Pós-Graduação

Quarta-feira, 29 de abril · 4:30 – 5:30pm

Fuso horário: America/Recife

Como participar do Google Meet

Link da videochamada: https://meet.google.com/oob-mmma-hrk

Ou disque: (BR) +55 11 4933-7948 PIN: 907 928 434#

Outros números de telefone: https://tel.meet/oob-mmma-hrk?pin=2633715618104


Título: Bayesian inference for the probability of agreement with several
measurement systems (*)


Palestrante : Mario de Castro Andrade Filho- ICMC/USP


Abstract



In this talk we deal with Bayesian inference in the comparison of
measurement systems.Agreement between two systems can be evaluated using
data from  several measurement systems and using only data from the two
systems being compared. With a measurement error model for replicated
observations and the probability of agreement to compare
measurement systems, we develop methods to compare measurement systems with
either homoscedastic or heteroscedastic measurement errors under the
Bayesian paradigm via Markov chain Monte Carlo methods. A graphical tool is
described to check model adequacy. The methodology is illustrated using a
real dataset.


(*) Joint work with Manuel Galea (PUC de Chile).

Atenciosamente
Francisco Cysneiros
-- 
Francisco José A. Cysneiros
Full professor
Departament of Statistics - UFPE
Co-Director of Graduate Studies, Statistics, UFPE
Editor in Chief of Brazilian Journal of Probability and Statistics
My URLs:
www.de.ufpe.br/~cysneiros  <http://www.de.ufpe.br/~cysneiros>
http://150.161.44.6/cysneiros

Lattes:

*ResearchedID:*
*Publons:*
http://lattes.cnpq.br/1313497098151734
http://www.researcherid.com/rid/G-6333-2012
https://publons.com/a/1540091
ORCID: http://orcid.org/0000-0001-6757-6969


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