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Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.

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Title: Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.
Authors: Nieto Ramos, Alejandro1,2, Fenton, Flavio H.3, Cherry, Elizabeth M.4, elizabeth.cherry@gatech.edu
Source: Medical & Biological Engineering & Computing; Jan2023, Vol. 61 Issue 1, p75-95, 21p, 2 Charts, 11 Graphs
Database: Applied Science & Technology Source
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PubType: Academic Journal
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      – Type: doi
        Value: 10.1007/s11517-022-02685-y
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      – Code: eng
        Text: English
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      – TitleFull: Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.
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            NameFull: Nieto Ramos, Alejandro
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            NameFull: Fenton, Flavio H.
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              Text: Jan2023
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              Y: 2023
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