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Robust Bayesian Estimation of Mixed Normal Dirichlet Models to Study the Effect of Some Climatic Factors on Evaporation

This study proposes and validates a robust Bayesian model based on a Dirichlet process mixture of normals (DMNM) for probability density estimation and missing data imputation in multivariate datasets. The primary focus is on addressing the challenge of incomplete data by providing a flexible and ac...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Hassan Sami, Asmaa Ayoob
Format: Artigo
Sprache:Inglês
Veröffentlicht: Anhalt University of Applied Sciences 2025-08-01
Schriftenreihe:Proceedings of the International Conference on Applied Innovations in IT
Schlagworte:
bayesian estimation
dirichlet process
mixture normal model
gibbs sampler
climate factors
Online-Zugang:https://icaiit.org/paper.php?paper=13th_ICAIIT_4/4_2
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