O’Bayes 2013 [#2]

Another day at O’Bayes 2013, recovering from the flow of reminiscences of yesterday. Talks from Guido Consonni on running reference model selection in complex designs, from Dimitris Fouskakis on integrating out imaginary observations in a g-prior, which seems to bring more sparsity than the hyper-g prior in variable selection, from François Perron on Bayesian inference for copulas, with an innovative parametrisation and links with Polya trees, from Nancy Reid and Laura Ventura on likelihood approximations and pseudo-likelihoods, offering a wide range of solutions for ABC (or BC) references (with the lingering question of the validation of the approximation for a given sample, as discussed by Brunero Liseo) and from two physicists to conclude the day! Tomorrow is the final day and I hope I can go running a last time in the woods before the flights back to Paris.