(CRC Press: Boca Raton, FL) -- Filling a gap in current Bayesian theory, Murray Aitkin’s  Statistical Inference: An Integrated Bayesian/Likelihood Approach (CRC Press, 2010) presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical methods for hypothesis testing.

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