Publication: Bayesian age-period-cohort modeling and prediction - BAMP
Bayesian age-period-cohort modeling and prediction - BAMP
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Schmid, V. J., & Held, L. (2007). Bayesian age-period-cohort modeling and prediction - BAMP. Journal of Statistical Software, 21(8), 1–15. https://doi.org/10.18637/jss.v021.i08
Abstract
Abstract
Abstract
The software package BAMP provides a method of analyzing incidence or mortality data on the Lexis diagram, using a Bayesian version of an age-period-cohort model. A hierarchical model is assumed with a binomial model in the first-stage. As smoothing priors for the age, period and cohort parameters random walks of first and second order, with and without an additional unstructured component are available. Unstructured heterogeneity can also be included in the model. In order to evaluate the model fit, posterior deviance, DIC and predic
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- Schmid, V J
- Held, L
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Citations
Schmid, V. J., & Held, L. (2007). Bayesian age-period-cohort modeling and prediction - BAMP. Journal of Statistical Software, 21(8), 1–15. https://doi.org/10.18637/jss.v021.i08
