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Communications in Statistics - Theory and Methods Volume 50, 2021 - Issue 24
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Original Articles

Semiparametric Bayesian networks for continuous data

Seloua BoukabourProbability and Statistics Laboratory, Faculty of Sciences, Sfax University, Sfax, TunisiaCorrespondence[email protected]
&
Afif MasmoudiProbability and Statistics Laboratory, Faculty of Sciences, Sfax University, Sfax, Tunisia
Pages 5974-5996 | Received 28 Apr 2019, Accepted 29 Feb 2020, Published online: 13 Mar 2020

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Yousri Slaoui. (2022) Recursive kernel regression estimation under α – mixing data. Communications in Statistics - Theory and Methods 51:24, pages 8459-8475.
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Articles from other publishers (3)

Komal Siwach, Harsh Kumar, Nekram Rawal, Kuldeep Singh & Anubhav Rawat. (2024) Prediction of energy performance of residential buildings using regularised neural models. Proceedings of the Institution of Civil Engineers - Energy, pages 1-20.
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Leah A. Jackson-Blake, François Clayer, Sigrid Haande, James E. Sample & S. Jannicke Moe. (2022) Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network. Hydrology and Earth System Sciences 26:12, pages 3103-3124.
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David Atienza, Pedro Larrañaga & Concha Bielza. (2022) Hybrid semiparametric Bayesian networks. TEST 31:2, pages 299-327.
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