This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoretical principles and real-world applications to provide motivation and intuition.
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‘Bayesian Social Science Statistics: Volume 2 - Gill, Jeff (American University), Bao, Le (City University of Hong Kong)’.
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