Uncertainty assessment

This blog is the second part of our series, where we share the Python code used in our paper titled: Bayesian Analysis of Fracture of Polyamide 12 U-Notched Specimens, developed in collaboration with the research group of Professor Jesús Rodríguez-Pérez (DIMME, Grupo de Durabilidad e Integridad Mecánica de Materiales Estructurales, Escuela Superior de Ciencias Experimentales […]

Recently, we have presented a paper titled: Bayesian analysis of fracture of polyamide 12 U-notched specimens, in collaboration with the group of Professor Jesús Rodríguez-Pérez (DIMME, Grupo de Durabilidad e Integridad Mecánica de Materiales Estructurales, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos) in the European Conference of Fracture 2024 We share

When fitting data distributed across multiple groups, Bayesian modeling offers a powerful approach to account for uncertainty in parameter estimation. In this blog, we’ll walk through how to fit data from three different groups where each group can be described by a linear regression model, and the three regression lines are parallel).