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Maddi, A., Guessoum, A., Berkani, D. and Belkina, O. (2005) Etude de la méthode des moindres carrés récursive et application au signal de parole. 3rd International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, Sousse, Tunisia, 27-31 March 2005.

has been cited by the following article:

• TITLE: Comparative Study of Probabilistic and Least-Squares Methods for Developing Predictive Models

  AUTHORS: Boribo Kikunda Philippe, Thierry Nsabimana, Jules Raymond Kala, Jeremie Ndikumagenge, Longin Ndayisaba

  KEYWORDS: Predictive Models, Least Squares, Bayesian Estimation Methods

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.14 No.7, July 19, 2024

  ABSTRACT: This article explores the comparison between the probability method and the least squares method in the design of linear predictive models. It points out that these two approaches have distinct theoretical foundations and can lead to varied or similar results in terms of precision and performance under certain assumptions. The article underlines the importance of comparing these two approaches to choose the one best suited to the context, available data and modeling objectives.