Bayesian Hierarchical Modelling
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66085-6_17
Reference11 articles.
1. Cressie, N., Calder, C. A., Clark, J. S., Hoef, J. M. V., & Wikle, C. K. (2009). Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling. Ecological Applications,19, 553–570.
2. Cressie, N., & Wikle, C. K. (2011). Statistics for spatio-temporal data. Wiley.
3. Dietze, M. C., Wolosin, M. S., & Clark, J. S. (2008). Capturing diversity and interspecific variability in allometries: A hierarchical approach. Forest Ecology and Management,256, 1939–1948. https://doi.org/10.1016/j.foreco.2008.07.034
4. DuMouchel, W., & Normand, S.-L. (2000). Computer-modeling and graphical strategies for meta-analysis. In Meta-analysis in medicine and health policy (pp. 127–178).
5. 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.
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