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As the frontiers of applied statistics progress through increasingly complex experiments we must exploit increasingly sophisticated inferential models to analyze the observations we make.
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[author] Gelman, AndrewA., Carlin, John B.J. B., Stern, Hal S.H. S., Dunson, David B.D. B., Vehtari, AkiA. and Rubin, Donald B.D. B. (2014). Bayesian Data Analysis, third ed. Texts in Statistical Science Series. CRC Press, Boca Raton, FL
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[author] Gelman, AndrewA., Simpson, DanielD. and Betancourt, MichaelM. (2017). The prior can often only be understood in the context of the likelihood. Entropy 19 555
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2018
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2014
Cited alongside, same era.