Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...
You have a Teton account (see the Teton: Beginner's Guide for more on how that works). You are using a Linux-based system for interacting with Teton (again, see the Beginner's Guide). Your R libraries ...
Background Conventionally, frequentist approach has been used to model health state valuation data. Recently, researchers started to explore the use of Bayesian methods in this area. Objectives This ...
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