A1009
Title: Interval-valued models in frequentist and Bayesian schemes
Authors: Abdolnasser Sadeghkhani - North Carolina Agricultural and Technical State University (United States) [presenting]
Abstract: Interval-valued data is covered in the multivariate domain, deriving maximum likelihood estimators for parameters and establishing their asymptotic distributions. It introduces a theoretical Bayesian framework for multivariate data, previously applied only to univariate cases. Detailed explanations of the proposed estimators, comparative performance analyses, and validations of their effectiveness through simulations and real-world data analysis are included.
