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stat.ME2024
Multivariate Interval-Valued Models in Frequentist and Bayesian Schemes
Ali Sadeghkhani, Abdolnasser Sadeghkhani
In recent years, addressing the challenges posed by massive datasets has led researchers to explore aggregated data, particularly leveraging interval-valued data, akin to tradition…
stat.ME2024
Adaptive Bayesian Structure Learning of DAGs With Non-conjugate Prior
S. Nazari, M. Arashi, A. Sadeghkhani
Directed Acyclic Graphs (DAGs) are solid structures used to describe and infer the dependencies among variables in multivariate scenarios. Having a thorough comprehension of the ac…