Bayesian Hypothesis Testing: a Reference Approach

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Methods and Criteria for Model Selection (2004, background): “Hence we think there are good reasons to challenge the traditional formulations of this problem.”
A survey of Bayesian predictive methods for model assessment, selection and comparison (2012, background): “Bernardo and Rueda (2002) also discuss calibration for hypothesis testing.”
THE FORMAL DEFINITION OF REFERENCE PRIORS (2009, background): “One possibility is the symmetrized form of the logarithmic divergence in Bernardo and Rueda [12], but the analysis is considerably more difficult.”
Compatibility of prior specifications across linear models (2008, background): “The choice of g has been extensively analyzed in several papers, for example, George and Foster (2000), Clyde and George (2004) and Fernández, Ley and Steel (2001). Some authors have raised criticism against the use of g-priors for model selection (see for a clear exposition Berger and Pericchi, 200”
DIC in variable selection (2005, unknown): “See BERNARDO and RUEDA (2002).”
Intrinsic credible regions: An objective Bayesian approach to interval estimation (2005, methodology): “…however, that the behaviour of many important limiting processes, in both probability theory and statistical inference, is better described in terms of another information-theory related divergence measure, the intrinsic discrepancy (Bernardo and Rueda, 2002), which is now defined and illustrated.”