Simulation study on the impact of measurement errors in hierarchical Bayesian semi-parametric models
This study examines the impact of measurement errors on parameter estimates within hierarchical Bayesian semiparametric (HBS) models, with a focus on the Lotka–Volterra predator–prey model as a case study. By employing Gibbs sampling within the Markov Chain Monte Carlo framework, we simulate various...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-06-01
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| Series: | Computational and Mathematical Biophysics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cmb-2024-0019 |
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