Wow, what an exciting workshop in an equally exciting place! Strong themes were post-Bayes (Gibbs priors, martingale priors, predictive Bayes, &tc.) and deep neural network modelling. With animated discussions allowed by the free windows planned in the program. And the very early dinner at Sabhal Mòr Ostaig that let a long sunlit evening for impromptu Q&A’s [with a serving of lamb and another of haggis pie!]. Making me realise the large corpus of work I had missed in the past years on these topics, even though the satellite of BayesComp last year was already an eye opener. (Stay tuned for news about BayesComp 2027 & its mirror in Aussois!) The proposal in Jeff Miller’s discussion of Jeremias Knoblauch’s overview of post-Bayes [I’d rather favour another name!] to consider directly likelihood values as the data was particularly appealing to me, while reminding me of the foundations of nested sampling. (Hopefully, a new perspective on uncertainty assessment for nested sampling is soon to be completed!)
On the non-academic side, the long days in The North helped with my running with above 90km bagged in the week (and no downpour on the runs). But little to my swimming since the water was cold enough to limit my laps to 5mn each time! Paradoxically the worst day was the one I chose for climbing the Inaccessible Pinnacle (as expanded in another ‘Og entry).
While my first day at 
