Bayesian Calibration and MCMC: Frequently Asked Questions
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66085-6_9
Reference15 articles.
1. Andrieu, C., & Thoms, J. (2008). A tutorial on adaptive MCMC. Statistics and Computing,18, 343–373. https://doi.org/10.1007/s11222-008-9110-y
2. Betancourt, M. (2018). A Conceptual Introduction to Hamiltonian Monte Carlo. arXiv:1701.02434 [stat].
3. Cameron, D., Hartig, F., Minnuno, F., Oberpriller, J., Reineking, B., Van Oijen, M., & Dietze, M. (2022). Issues in calibrating models with multiple unbalanced constraints: The significance of systematic model and data errors. Methods in Ecology and Evolution, 2041–210X.14002. https://doi.org/10.1111/2041-210X.14002
4. Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis (3rd ed.). Chapman and Hall/CRC.
5. Gilks, W. R., Richardson, S., & Spiegelhalter, D. (1995). Markov chain Monte Carlo in practice. CRC Press.
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