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How to become a Bayesian in eight easy steps: An annotated reading list
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In this guide, we present a reading list to serve as a concise introduction to Bayesian data analysis. The introduction is geared toward reviewers, editors, and interested researchers who are new to Bayesian statistics. We provide commentary for eight recommended sources, which together cover the theoretical and practical cornerstones of Bayesian statistics in psychology and related sciences. |
data science |
Submitted by elementlist on Apr 13, 2017 |
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