Predictive Modeling Applications in Actuarial Science

Chapter 13 - Bayesian Computational Methods


Brian Hartman | University of Connecticut

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Bayesian methods have grown rapidly in popularity because of their general applicability, structured and direct incorporation of expert opinion, and proper accounting of model and parameter uncertainty. This chapter outlines the basic process and describes the benefits and difficulties inherent in fitting Bayesian models.


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