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Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks.

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Title: Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks.
Authors: Kwok, Wai M.1 (AUTHOR), Streftaris, George2 (AUTHOR), Dass, Sarat C.1 (AUTHOR) S.Dass@hw.ac.uk
Source: Statistics & Computing. Dec2023, Vol. 33 Issue 6, p1-25. 25p.
Database: Mathematics Source
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  Data: Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks.
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      – Type: doi
        Value: 10.1007/s11222-023-10289-1
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      – Code: eng
        Text: English
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        PageCount: 25
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      – TitleFull: Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks.
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            NameFull: Kwok, Wai M.
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            NameFull: Streftaris, George
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            NameFull: Dass, Sarat C.
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              Text: Dec2023
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              Y: 2023
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